SPB Git forge

spb/wp21_uqo

Public
0commits 0branches 0releases
0 Bsize
maindefault branch
—last push
5.2 KB · 123 lines json
Raw Blame History
1{2 "record_id": "fb704039a7cb48f523fc8649b0477ed96bedc7f7",3 "eligible": true,4 "exclusion_reason": null,5 "study": {6  "title": "Improved Methods for Predicting Property Prices in Hazard Prone Dynamic Markets",7  "year": 2016,8  "doi": "10.1007/s10640-016-0076-5",9  "country": "United States",10  "region_city": "Pitt County, North Carolina",11  "sample_start": 1992,12  "sample_end": 2002,13  "property_type": "single_family",14  "price_type": "transaction",15  "data_source": "4,779 single-family sales in Pitt County NC, January 1992-June 2002 (Bin and Landry 2013 data), around hurricanes Fran (1996) and Floyd (1999)",16  "document_type": "journal",17  "estimators": [18   "OLS",19   "other"20  ],21  "spatial_method": "kriging of residuals (M4); log distances to amenities (M1-M2)",22  "time_fe": true,23  "location_fe": false,24  "se_type": "unknown",25  "n_obs_total": 4779,26  "ai_methods": [],27  "notes": "Environmental and Resource Economics 69. Primarily a prediction-accuracy study (Monte Carlo sub-sampling, out-of-sample errors). The only printed characteristic coefficient is the floodplain dummy (Table 3, 'Total population' row, no SE); sub-sample rows are averages over 50,000 Monte Carlo runs and were not extracted. Sample period January 1992-June 2002 (stated in Sect. 2.1). time_fe refers to sale-period dummies in M1-M2 only."28 },29 "models": [30  {31   "model_id": "T3-c1",32   "table": "3",33   "column": "M1 (Total population row)",34   "page": 13,35   "dep_var": "ln sales price (USD)",36   "dep_transform": "log",37   "estimator": "OLS",38   "n_obs": 4779,39   "r2": null,40   "se_or_t_in_parentheses": "none",41   "sample_subset": "full sample (N = 4779), Pitt County NC single-family sales 1992-2002; full traditional hedonic: age, bedrooms, lot size, structure sqft each as X + X^2, amenity dummies, log distances (creek, airport, major road, business centre, railroad, Tar River, park), sale-period dummies, floodplain and floodplain x period interactions; Monte Carlo sub-sample rows of Table 3 not extracted (resampling averages)"42  },43  {44   "model_id": "T3-c2",45   "table": "3",46   "column": "M2 (Total population row)",47   "page": 13,48   "dep_var": "ln sales price (USD)",49   "dep_transform": "log",50   "estimator": "OLS",51   "n_obs": 4779,52   "r2": null,53   "se_or_t_in_parentheses": "none",54   "sample_subset": "full sample (N = 4779), Pitt County NC single-family sales 1992-2002; as M1 but X + sqrt(X) (age, bedrooms, lot size) and X + ln(X) (structure sqft); Monte Carlo sub-sample rows of Table 3 not extracted (resampling averages)"55  },56  {57   "model_id": "T3-c3",58   "table": "3",59   "column": "M3 & M4 (Total population row)",60   "page": 13,61   "dep_var": "ln sales price (USD)",62   "dep_transform": "log",63   "estimator": "other",64   "n_obs": 4779,65   "r2": null,66   "se_or_t_in_parentheses": "none",67   "sample_subset": "full sample (N = 4779), Pitt County NC single-family sales 1992-2002; reduced model: age, bedrooms, sqrt(lot size), ln(structure sqft), floodplain dummy; M4 additionally kriges residuals for spatial variation (floodplain coefficient identical for M3 and M4); Monte Carlo sub-sample rows of Table 3 not extracted (resampling averages)"68  }69 ],70 "coefficients": [71  {72   "model_id": "T3-c1",73   "var_name_printed": "Floodplain (= 1)",74   "taxonomy_id": "flood_risk",75   "x_transform": "dummy",76   "x_unit": "binary",77   "beta": -0.056,78   "se": null,79   "t": null,80   "p": null,81   "p_stars": "",82   "ci_lo": null,83   "ci_hi": null,84   "page": 13,85   "confidence": "medium",86   "notes": "coefficient on 100-year floodplain dummy from the full-sample regression ('Total population' row of Table 3); no SE or significance printed; for M1 and M2 the text states the floodplain coefficient 'was controlled for the interaction terms' with the post-Fran and post-Floyd period dummies (exact adjustment not specified); other hedonic coefficients of the models are not printed"87  },88  {89   "model_id": "T3-c2",90   "var_name_printed": "Floodplain (= 1)",91   "taxonomy_id": "flood_risk",92   "x_transform": "dummy",93   "x_unit": "binary",94   "beta": -0.056,95   "se": null,96   "t": null,97   "p": null,98   "p_stars": "",99   "ci_lo": null,100   "ci_hi": null,101   "page": 13,102   "confidence": "medium",103   "notes": "coefficient on 100-year floodplain dummy from the full-sample regression ('Total population' row of Table 3); no SE or significance printed; for M1 and M2 the text states the floodplain coefficient 'was controlled for the interaction terms' with the post-Fran and post-Floyd period dummies (exact adjustment not specified); other hedonic coefficients of the models are not printed"104  },105  {106   "model_id": "T3-c3",107   "var_name_printed": "Floodplain (= 1)",108   "taxonomy_id": "flood_risk",109   "x_transform": "dummy",110   "x_unit": "binary",111   "beta": -0.054,112   "se": null,113   "t": null,114   "p": null,115   "p_stars": "",116   "ci_lo": null,117   "ci_hi": null,118   "page": 13,119   "confidence": "medium",120   "notes": "coefficient on 100-year floodplain dummy from the full-sample regression ('Total population' row of Table 3); no SE or significance printed; for M1 and M2 the text states the floodplain coefficient 'was controlled for the interaction terms' with the post-Fran and post-Floyd period dummies (exact adjustment not specified); other hedonic coefficients of the models are not printed"121  }122 ]123}