1{2 "record_id": "03bfeba917085bc65a0ab641e5a03916b687b20f",3 "eligible": true,4 "exclusion_reason": null,5 "study": {6 "title": "Economic feasibility of wood-based structures—Improving urban carbon neutrality strategies",7 "year": 2021,8 "doi": "10.1088/2634-4505/abfe05",9 "country": "Finland",10 "region_city": "Helsinki metropolitan area (Helsinki, Espoo, Vantaa)",11 "sample_start": 1999,12 "sample_end": 2018,13 "property_type": "condo_apartment",14 "price_type": "transaction",15 "data_source": "Central Federation of Finnish Real Estate Agencies (KVKL) transaction data 1999-2018, apartment-building dwellings built 1990-2020; Statistics Finland 250 m grid neighbourhood data",16 "document_type": "journal",17 "estimators": [18 "OLS"19 ],20 "spatial_method": "none (postal-code dummies)",21 "time_fe": false,22 "location_fe": true,23 "se_type": "clustered",24 "n_obs_total": 27954,25 "ai_methods": [],26 "notes": "Environmental Research: Infrastructure and Sustainability 1 (2021) 011002. Only the wood coefficient is reported numerically; the other hedonic controls (log size, log age, rooms, condition, new development, elevator, lot ownership, log distance to CBD, sold >= 2011 dummy, neighbourhood variables) are included via stepwise selection but their coefficients are not printed (Table 3 only flags significance). Dependent variable stated as ln(price of dwelling); Table 1 summarises price per m2 but equation (1) uses dwelling price. 'Sold during or after 2011' dummy is the only time control (time_fe set false). SE clustered by postal codes."27 },28 "models": [29 {30 "model_id": "T2-c1",31 "table": "2",32 "column": "1 (HMA)",33 "page": 7,34 "dep_var": "ln(transaction price of dwelling)",35 "dep_transform": "log",36 "estimator": "OLS",37 "n_obs": 27954,38 "r2": 0.907,39 "se_or_t_in_parentheses": "se",40 "sample_subset": "Helsinki metropolitan area (Helsinki+Espoo+Vantaa), 137 postal-code dummies; housing, neighbourhood characteristics and distance to CBD included; apartment-building dwellings built 1990-2020, sold 1999-2018; stepwise OLS, SE clustered by postal code; only the wood coefficient is printed"41 },42 {43 "model_id": "T2-c2",44 "table": "2",45 "column": "2 (Helsinki)",46 "page": 7,47 "dep_var": "ln(transaction price of dwelling)",48 "dep_transform": "log",49 "estimator": "OLS",50 "n_obs": 14867,51 "r2": 0.91,52 "se_or_t_in_parentheses": "se",53 "sample_subset": "City of Helsinki, 79 postal codes; full controls; apartment-building dwellings built 1990-2020, sold 1999-2018; stepwise OLS, SE clustered by postal code; only the wood coefficient is printed"54 },55 {56 "model_id": "T2-c3",57 "table": "2",58 "column": "3 (Espoo)",59 "page": 7,60 "dep_var": "ln(transaction price of dwelling)",61 "dep_transform": "log",62 "estimator": "OLS",63 "n_obs": 7422,64 "r2": 0.891,65 "se_or_t_in_parentheses": "se",66 "sample_subset": "City of Espoo, 33 postal codes; full controls; apartment-building dwellings built 1990-2020, sold 1999-2018; stepwise OLS, SE clustered by postal code; only the wood coefficient is printed"67 },68 {69 "model_id": "T2-c4",70 "table": "2",71 "column": "4 (Vantaa)",72 "page": 7,73 "dep_var": "ln(transaction price of dwelling)",74 "dep_transform": "log",75 "estimator": "OLS",76 "n_obs": 5665,77 "r2": 0.876,78 "se_or_t_in_parentheses": "se",79 "sample_subset": "City of Vantaa, 25 postal codes; distance to CBD excluded (multicollinearity); apartment-building dwellings built 1990-2020, sold 1999-2018; stepwise OLS, SE clustered by postal code; only the wood coefficient is printed"80 },81 {82 "model_id": "T4-c1",83 "table": "4",84 "column": "1 (Helsinki)",85 "page": 8,86 "dep_var": "ln(transaction price of dwelling)",87 "dep_transform": "log",88 "estimator": "OLS",89 "n_obs": 14888,90 "r2": 0.003,91 "se_or_t_in_parentheses": "se",92 "sample_subset": "Helsinki only, gradually adding variable groups: wood only; SE clustered by 79 postal codes"93 },94 {95 "model_id": "T4-c2",96 "table": "4",97 "column": "2 (Helsinki)",98 "page": 8,99 "dep_var": "ln(transaction price of dwelling)",100 "dep_transform": "log",101 "estimator": "OLS",102 "n_obs": 14888,103 "r2": 0.574,104 "se_or_t_in_parentheses": "se",105 "sample_subset": "Helsinki only, gradually adding variable groups: wood + age & size; SE clustered by 79 postal codes"106 },107 {108 "model_id": "T4-c3",109 "table": "4",110 "column": "3 (Helsinki)",111 "page": 8,112 "dep_var": "ln(transaction price of dwelling)",113 "dep_transform": "log",114 "estimator": "OLS",115 "n_obs": 14888,116 "r2": 0.85,117 "se_or_t_in_parentheses": "se",118 "sample_subset": "Helsinki only, gradually adding variable groups: + housing characteristics + CBD Euclidean distance; SE clustered by 79 postal codes"119 },120 {121 "model_id": "T4-c4",122 "table": "4",123 "column": "4 (Helsinki)",124 "page": 8,125 "dep_var": "ln(transaction price of dwelling)",126 "dep_transform": "log",127 "estimator": "OLS",128 "n_obs": 14867,129 "r2": 0.894,130 "se_or_t_in_parentheses": "se",131 "sample_subset": "Helsinki only, gradually adding variable groups: + neighbourhood characteristics; SE clustered by 79 postal codes"132 },133 {134 "model_id": "T4-c5",135 "table": "4",136 "column": "5 (Helsinki)",137 "page": 8,138 "dep_var": "ln(transaction price of dwelling)",139 "dep_transform": "log",140 "estimator": "OLS",141 "n_obs": 14867,142 "r2": 0.91,143 "se_or_t_in_parentheses": "se",144 "sample_subset": "Helsinki only, gradually adding variable groups: + postal codes [79]; identical to Table 2 col 2; SE clustered by 79 postal codes"145 }146 ],147 "coefficients": [148 {149 "model_id": "T2-c1",150 "var_name_printed": "Effect of wood",151 "taxonomy_id": "roof_materials",152 "x_transform": "dummy",153 "x_unit": "binary",154 "beta": 0.017,155 "se": 0.025,156 "t": null,157 "p": 0.498,158 "p_stars": "",159 "ci_lo": null,160 "ci_hi": null,161 "page": 7,162 "confidence": "high",163 "notes": "wooden structure dummy (fully wooden or wooden-frame building); Std. err. printed in [brackets]; p-value from text (p.6-8); stars *p<0.05 **p<0.01 ***p<0.001; other hedonic coefficients not printed (Table 3 lists only which were significant)"164 },165 {166 "model_id": "T2-c2",167 "var_name_printed": "Effect of wood",168 "taxonomy_id": "roof_materials",169 "x_transform": "dummy",170 "x_unit": "binary",171 "beta": 0.085,172 "se": 0.02,173 "t": null,174 "p": 0.0,175 "p_stars": "***",176 "ci_lo": null,177 "ci_hi": null,178 "page": 7,179 "confidence": "high",180 "notes": "wooden structure dummy (fully wooden or wooden-frame building); Std. err. printed in [brackets]; p-value from text (p.6-8); stars *p<0.05 **p<0.01 ***p<0.001; other hedonic coefficients not printed (Table 3 lists only which were significant)"181 },182 {183 "model_id": "T2-c3",184 "var_name_printed": "Effect of wood",185 "taxonomy_id": "roof_materials",186 "x_transform": "dummy",187 "x_unit": "binary",188 "beta": 0.029,189 "se": 0.037,190 "t": null,191 "p": 0.443,192 "p_stars": "",193 "ci_lo": null,194 "ci_hi": null,195 "page": 7,196 "confidence": "high",197 "notes": "wooden structure dummy (fully wooden or wooden-frame building); Std. err. printed in [brackets]; p-value from text (p.6-8); stars *p<0.05 **p<0.01 ***p<0.001; other hedonic coefficients not printed (Table 3 lists only which were significant)"198 },199 {200 "model_id": "T2-c4",201 "var_name_printed": "Effect of wood",202 "taxonomy_id": "roof_materials",203 "x_transform": "dummy",204 "x_unit": "binary",205 "beta": -0.011,206 "se": 0.022,207 "t": null,208 "p": 0.613,209 "p_stars": "",210 "ci_lo": null,211 "ci_hi": null,212 "page": 7,213 "confidence": "high",214 "notes": "wooden structure dummy (fully wooden or wooden-frame building); Std. err. printed in [brackets]; p-value from text (p.6-8); stars *p<0.05 **p<0.01 ***p<0.001; other hedonic coefficients not printed (Table 3 lists only which were significant)"215 },216 {217 "model_id": "T4-c1",218 "var_name_printed": "Wood",219 "taxonomy_id": "roof_materials",220 "x_transform": "dummy",221 "x_unit": "binary",222 "beta": -0.259,223 "se": 0.079,224 "t": null,225 "p": null,226 "p_stars": "**",227 "ci_lo": null,228 "ci_hi": null,229 "page": 8,230 "confidence": "high",231 "notes": "wooden structure dummy; printed with decimal commas (e.g. '−0, 259', '[0, 079]'); stars *p<0.05 **p<0.01 ***p<0.001 (Table 2 legend); specification: wood only"232 },233 {234 "model_id": "T4-c2",235 "var_name_printed": "Wood",236 "taxonomy_id": "roof_materials",237 "x_transform": "dummy",238 "x_unit": "binary",239 "beta": -0.167,240 "se": 0.07,241 "t": null,242 "p": null,243 "p_stars": "*",244 "ci_lo": null,245 "ci_hi": null,246 "page": 8,247 "confidence": "high",248 "notes": "wooden structure dummy; printed with decimal commas (e.g. '−0, 259', '[0, 079]'); stars *p<0.05 **p<0.01 ***p<0.001 (Table 2 legend); specification: wood + age & size"249 },250 {251 "model_id": "T4-c3",252 "var_name_printed": "Wood",253 "taxonomy_id": "roof_materials",254 "x_transform": "dummy",255 "x_unit": "binary",256 "beta": 0.043,257 "se": 0.024,258 "t": null,259 "p": null,260 "p_stars": "",261 "ci_lo": null,262 "ci_hi": null,263 "page": 8,264 "confidence": "high",265 "notes": "wooden structure dummy; printed with decimal commas (e.g. '−0, 259', '[0, 079]'); stars *p<0.05 **p<0.01 ***p<0.001 (Table 2 legend); specification: + housing characteristics + CBD Euclidean distance"266 },267 {268 "model_id": "T4-c4",269 "var_name_printed": "Wood",270 "taxonomy_id": "roof_materials",271 "x_transform": "dummy",272 "x_unit": "binary",273 "beta": 0.041,274 "se": 0.02,275 "t": null,276 "p": null,277 "p_stars": "*",278 "ci_lo": null,279 "ci_hi": null,280 "page": 8,281 "confidence": "high",282 "notes": "wooden structure dummy; printed with decimal commas (e.g. '−0, 259', '[0, 079]'); stars *p<0.05 **p<0.01 ***p<0.001 (Table 2 legend); specification: + neighbourhood characteristics"283 },284 {285 "model_id": "T4-c5",286 "var_name_printed": "Wood",287 "taxonomy_id": "roof_materials",288 "x_transform": "dummy",289 "x_unit": "binary",290 "beta": 0.085,291 "se": 0.02,292 "t": null,293 "p": null,294 "p_stars": "***",295 "ci_lo": null,296 "ci_hi": null,297 "page": 8,298 "confidence": "high",299 "notes": "wooden structure dummy; printed with decimal commas (e.g. '−0, 259', '[0, 079]'); stars *p<0.05 **p<0.01 ***p<0.001 (Table 2 legend); specification: + postal codes [79]; identical to Table 2 col 2"300 }301 ]302}