1{2 "record_id": "66b74975968370c75371207845d963de2413a23e",3 "eligible": true,4 "exclusion_reason": null,5 "study": {6 "title": "Does urban centrality influence residential prices? An analysis for the Barcelona Metropolitan Area",7 "year": 2017,8 "doi": "10.7764/rdlc.16.1.57",9 "country": "Spain",10 "region_city": "Barcelona Metropolitan Region (137 municipalities)",11 "sample_start": 2014,12 "sample_end": 2014,13 "property_type": "condo_apartment",14 "price_type": "listing",15 "data_source": "Habitaclia.com sale listings of flats, November 2014 (35,116 cases, 3,479 retained with EPC class and after outlier trimming); 2001 census, cadastre, 2001 metropolitan mobility survey (300 m buffers)",16 "document_type": "journal",17 "estimators": [18 "OLS"19 ],20 "spatial_method": "none",21 "time_fe": false,22 "location_fe": false,23 "se_type": "OLS",24 "n_obs_total": 3479,25 "ai_methods": [],26 "notes": "Revista de la Construccion 16(1). Log-linear model of asking prices of multifamily flats; Table 3 reports unstandardized B, Std. Error, standardized Beta, t and Sig. (p) for the 14 retained significant variables (constant 10.297). Unit of energy coefficient: 0.9% per EPC step. No time or location fixed effects (location controlled by continuous census/cadastre/mobility variables)."27 },28 "models": [29 {30 "model_id": "T3-m14",31 "table": "3",32 "column": "Model 14",33 "page": 7,34 "dep_var": "ln asking (listing) price of flat, euros",35 "dep_transform": "log",36 "estimator": "OLS",37 "n_obs": 3479,38 "r2": 0.653,39 "se_or_t_in_parentheses": "se",40 "sample_subset": "Final model (14) after stepwise family of models and Mahalanobis outlier removal; only variables significant at 95% retained; adjusted R2 0.652; SE, standardized beta, t and Sig. in separate columns"41 }42 ],43 "coefficients": [44 {45 "model_id": "T3-m14",46 "var_name_printed": "Area (Sq. M.)",47 "taxonomy_id": "living_area",48 "x_transform": "level",49 "x_unit": "m2",50 "beta": 0.018,51 "se": 0.001,52 "t": 23.435,53 "p": 0.0,54 "p_stars": "",55 "ci_lo": null,56 "ci_hi": null,57 "page": 7,58 "confidence": "high",59 "notes": "Floor area of flat in m2 (quadratic specification with Area^2)"60 },61 {62 "model_id": "T3-m14",63 "var_name_printed": "Residents with university degree (%)",64 "taxonomy_id": "education_level",65 "x_transform": "level",66 "x_unit": "percentage points (share of residents with university degree, census tract, 300 m buffer)",67 "beta": 0.005,68 "se": 0.001,69 "t": 4.452,70 "p": 0.0,71 "p_stars": "",72 "ci_lo": null,73 "ci_hi": null,74 "page": 7,75 "confidence": "high",76 "notes": "2001 census, census-tract level"77 },78 {79 "model_id": "T3-m14",80 "var_name_printed": "AC",81 "taxonomy_id": "air_conditioning",82 "x_transform": "binary",83 "x_unit": "binary",84 "beta": 0.101,85 "se": 0.013,86 "t": 7.503,87 "p": 0.0,88 "p_stars": "",89 "ci_lo": null,90 "ci_hi": null,91 "page": 7,92 "confidence": "high",93 "notes": "Air conditioning dummy"94 },95 {96 "model_id": "T3-m14",97 "var_name_printed": "Area (Sq. M.)^2",98 "taxonomy_id": "living_area",99 "x_transform": "squared",100 "x_unit": "m2 squared",101 "beta": -4.104e-05,102 "se": null,103 "t": -11.88,104 "p": 0.0,105 "p_stars": "",106 "ci_lo": null,107 "ci_hi": null,108 "page": 7,109 "confidence": "high",110 "notes": "Squared floor area; SE printed as 0.000 (rounded), not recorded; t = -11.880"111 },112 {113 "model_id": "T3-m14",114 "var_name_printed": "Built density",115 "taxonomy_id": "density",116 "x_transform": "level",117 "x_unit": "floor area ratio (m2 of floor space per m2 of land, zone)",118 "beta": 0.038,119 "se": 0.006,120 "t": 6.264,121 "p": 0.0,122 "p_stars": "",123 "ci_lo": null,124 "ci_hi": null,125 "page": 7,126 "confidence": "high",127 "notes": "Built density of the zone used as a continuous centrality indicator; not population density"128 },129 {130 "model_id": "T3-m14",131 "var_name_printed": "Interaction lift*story level",132 "taxonomy_id": "floor_level",133 "x_transform": "other",134 "x_unit": "storey number x (+1 if lift present, -1 otherwise)",135 "beta": 0.013,136 "se": 0.002,137 "t": 5.846,138 "p": 0.0,139 "p_stars": "",140 "ci_lo": null,141 "ci_hi": null,142 "page": 7,143 "confidence": "high",144 "notes": "Interaction of floor level with lift presence (coded +1/-1); x_transform other"145 },146 {147 "model_id": "T3-m14",148 "var_name_printed": "Swiming pool",149 "taxonomy_id": "pool",150 "x_transform": "binary",151 "x_unit": "binary",152 "beta": 0.136,153 "se": 0.026,154 "t": 5.204,155 "p": 0.0,156 "p_stars": "",157 "ci_lo": null,158 "ci_hi": null,159 "page": 7,160 "confidence": "high",161 "notes": "Condominium swimming pool dummy"162 },163 {164 "model_id": "T3-m14",165 "var_name_printed": "Number of baths",166 "taxonomy_id": "bathrooms",167 "x_transform": "level",168 "x_unit": "count",169 "beta": 0.062,170 "se": 0.012,171 "t": 5.189,172 "p": 0.0,173 "p_stars": "",174 "ci_lo": null,175 "ci_hi": null,176 "page": 7,177 "confidence": "high",178 "notes": "Number of bathrooms"179 },180 {181 "model_id": "T3-m14",182 "var_name_printed": "Heating",183 "taxonomy_id": "heating",184 "x_transform": "binary",185 "x_unit": "binary",186 "beta": 0.046,187 "se": 0.013,188 "t": 3.453,189 "p": 0.001,190 "p_stars": "",191 "ci_lo": null,192 "ci_hi": null,193 "page": 7,194 "confidence": "high",195 "notes": "Heating dummy"196 },197 {198 "model_id": "T3-m14",199 "var_name_printed": "PCA factor for high professional profile",200 "taxonomy_id": "other",201 "x_transform": "level",202 "x_unit": "PCA factor score (socio-professional status of residents, zone)",203 "beta": 0.061,204 "se": 0.014,205 "t": 4.466,206 "p": 0.0,207 "p_stars": "",208 "ci_lo": null,209 "ci_hi": null,210 "page": 7,211 "confidence": "high",212 "notes": "Neighbourhood socio-professional status (managerial/professional residents); taxonomy other"213 },214 {215 "model_id": "T3-m14",216 "var_name_printed": "Residential buildings with doorkeeper (%)",217 "taxonomy_id": "other",218 "x_transform": "level",219 "x_unit": "percentage points (share of residential buildings with doorkeeper service, zone)",220 "beta": 0.005,221 "se": 0.001,222 "t": 4.128,223 "p": 0.0,224 "p_stars": "",225 "ci_lo": null,226 "ci_hi": null,227 "page": 7,228 "confidence": "high",229 "notes": "Neighbourhood status proxy; taxonomy other"230 },231 {232 "model_id": "T3-m14",233 "var_name_printed": "Centrality synthetic index",234 "taxonomy_id": "employment_access",235 "x_transform": "level",236 "x_unit": "index (DP2 synthetic centrality index from spatio-temporal behaviour of population, range 2.52-20.41)",237 "beta": 0.01,238 "se": 0.003,239 "t": 3.481,240 "p": 0.001,241 "p_stars": "",242 "ci_lo": null,243 "ci_hi": null,244 "page": 7,245 "confidence": "high",246 "notes": "Continuous centrality indicator based on time-geography (activities, not only employment); mapped to employment_access as an accessibility index"247 },248 {249 "model_id": "T3-m14",250 "var_name_printed": "Renewal",251 "taxonomy_id": "renovation",252 "x_transform": "binary",253 "x_unit": "binary",254 "beta": 0.043,255 "se": 0.017,256 "t": 2.512,257 "p": 0.012,258 "p_stars": "",259 "ci_lo": null,260 "ci_hi": null,261 "page": 7,262 "confidence": "high",263 "notes": "Renewed/renovated flat dummy"264 },265 {266 "model_id": "T3-m14",267 "var_name_printed": "Energy qualification",268 "taxonomy_id": "energy_efficiency",269 "x_transform": "level",270 "x_unit": "ordinal 1-7 EPC class (Table 1 codes 1=A most efficient, 7=G least efficient)",271 "beta": 0.009,272 "se": 0.004,273 "t": 2.076,274 "p": 0.038,275 "p_stars": "",276 "ci_lo": null,277 "ci_hi": null,278 "page": 7,279 "confidence": "medium",280 "notes": "Positive coefficient interpreted by the author as +0.9% per step up the efficiency ladder (A-G gap 5.11%), which implies the regression coding runs from least to most efficient, opposite to the Table 1 note; direction ambiguous"281 }282 ]283}