1{2 "record_id": "c457882224ad7235eecc5a3f2b95232d76a155e7",3 "eligible": true,4 "exclusion_reason": null,5 "study": {6 "title": "Unleashing the hidden green value: assessing the impact of energy certification and environmental amenities on real estate through hedonic modelling",7 "year": 2025,8 "doi": "10.36253/aestim-17418",9 "country": "Italy",10 "region_city": "Padua (Padova), Veneto",11 "sample_start": 2022,12 "sample_end": 2023,13 "property_type": "condo_apartment",14 "price_type": "transaction",15 "data_source": "Registered sale contracts downloaded from the Italian Revenue Agency (Agenzia delle Entrate) portal, 222 apartment sales 2022-2023, enriched with GIS data",16 "document_type": "journal",17 "estimators": [18 "OLS"19 ],20 "spatial_method": "none",21 "time_fe": false,22 "location_fe": false,23 "se_type": "unknown",24 "n_obs_total": 222,25 "ai_methods": [],26 "notes": "Semi-log OLS: dependent variable = log of apartment price per square metre (EUR/m2). Table 3 prints coefficients with significance stars only (no SE/t/p), plus the implied % variation. Star legend: * p<0.10, ** p<0.05, *** p<0.01, **** p<0.001. Some coefficients printed with a stray space ('0. 0541'). R2 = 0.551, adj. R2 = 0.521. 'Year in which the heating system was installed' is a calendar year (not age) and 'Mediation' = sold through a real estate agency."27 },28 "models": [29 {30 "model_id": "T3-c1",31 "table": "3",32 "column": "1",33 "page": 9,34 "dep_var": "log of apartment price per square meter (EUR/m2)",35 "dep_transform": "per_m2",36 "estimator": "OLS",37 "n_obs": 222,38 "r2": 0.551,39 "se_or_t_in_parentheses": "none",40 "sample_subset": "All 222 apartment sales, Padua 2022-2023; R2 0.551 (adj. 0.521)"41 }42 ],43 "coefficients": [44 {45 "model_id": "T3-c1",46 "var_name_printed": "Apartment surface (m2)",47 "taxonomy_id": "living_area",48 "x_transform": "level",49 "x_unit": "m2",50 "beta": -0.00347,51 "se": null,52 "t": null,53 "p": null,54 "p_stars": "****",55 "ci_lo": null,56 "ci_hi": null,57 "page": 9,58 "confidence": "high",59 "notes": "Apartment surface in m2 (price per m2 model). Dependent variable is log price per m2; only stars printed (**** p<0.001)."60 },61 {62 "model_id": "T3-c1",63 "var_name_printed": "Energy class A",64 "taxonomy_id": "energy_efficiency",65 "x_transform": "binary",66 "x_unit": "binary",67 "beta": 0.265,68 "se": null,69 "t": null,70 "p": null,71 "p_stars": "**",72 "ci_lo": null,73 "ci_hi": null,74 "page": 9,75 "confidence": "high",76 "notes": "EPC class A (A1-A4) vs classes B-G. Dependent variable is log price per m2; only stars printed (**** p<0.001)."77 },78 {79 "model_id": "T3-c1",80 "var_name_printed": "Age of the apartment",81 "taxonomy_id": "age",82 "x_transform": "level",83 "x_unit": "years",84 "beta": -0.0166,85 "se": null,86 "t": null,87 "p": null,88 "p_stars": "****",89 "ci_lo": null,90 "ci_hi": null,91 "page": 9,92 "confidence": "high",93 "notes": "Age in years; quadratic. Dependent variable is log price per m2; only stars printed (**** p<0.001)."94 },95 {96 "model_id": "T3-c1",97 "var_name_printed": "Squared age of the apartment",98 "taxonomy_id": "age",99 "x_transform": "squared",100 "x_unit": "years",101 "beta": 0.000125,102 "se": null,103 "t": null,104 "p": null,105 "p_stars": "****",106 "ci_lo": null,107 "ci_hi": null,108 "page": 9,109 "confidence": "high",110 "notes": "Age squared. Dependent variable is log price per m2; only stars printed (**** p<0.001)."111 },112 {113 "model_id": "T3-c1",114 "var_name_printed": "Year in which the heating system was installed",115 "taxonomy_id": "heating",116 "x_transform": "other",117 "x_unit": "years",118 "beta": 0.00691,119 "se": null,120 "t": null,121 "p": null,122 "p_stars": "***",123 "ci_lo": null,124 "ci_hi": null,125 "page": 9,126 "confidence": "high",127 "notes": "Calendar year of installation of the heating system (level in years, not a dummy). Dependent variable is log price per m2; only stars printed (**** p<0.001)."128 },129 {130 "model_id": "T3-c1",131 "var_name_printed": "Bathrooms number",132 "taxonomy_id": "bathrooms",133 "x_transform": "level",134 "x_unit": "count",135 "beta": 0.173,136 "se": null,137 "t": null,138 "p": null,139 "p_stars": "***",140 "ci_lo": null,141 "ci_hi": null,142 "page": 9,143 "confidence": "high",144 "notes": "Number of bathrooms. Dependent variable is log price per m2; only stars printed (**** p<0.001)."145 },146 {147 "model_id": "T3-c1",148 "var_name_printed": "Elevator",149 "taxonomy_id": "accessibility",150 "x_transform": "binary",151 "x_unit": "binary",152 "beta": 0.161,153 "se": null,154 "t": null,155 "p": null,156 "p_stars": "****",157 "ci_lo": null,158 "ci_hi": null,159 "page": 9,160 "confidence": "high",161 "notes": "Elevator present. Dependent variable is log price per m2; only stars printed (**** p<0.001)."162 },163 {164 "model_id": "T3-c1",165 "var_name_printed": "Train station distance (Km)",166 "taxonomy_id": "transit_distance",167 "x_transform": "level",168 "x_unit": "km",169 "beta": -0.123,170 "se": null,171 "t": null,172 "p": null,173 "p_stars": "**",174 "ci_lo": null,175 "ci_hi": null,176 "page": 9,177 "confidence": "high",178 "notes": "Distance to train station in km. Dependent variable is log price per m2; only stars printed (**** p<0.001)."179 },180 {181 "model_id": "T3-c1",182 "var_name_printed": "Number of schools within a radius 200 m",183 "taxonomy_id": "school_distance",184 "x_transform": "level",185 "x_unit": "count",186 "beta": 0.122,187 "se": null,188 "t": null,189 "p": null,190 "p_stars": "**",191 "ci_lo": null,192 "ci_hi": null,193 "page": 9,194 "confidence": "high",195 "notes": "Count of schools within 200 m (not a distance). Dependent variable is log price per m2; only stars printed (**** p<0.001)."196 },197 {198 "model_id": "T3-c1",199 "var_name_printed": "Number of supermarkets within a radius 200 m",200 "taxonomy_id": "commercial_distance",201 "x_transform": "level",202 "x_unit": "count",203 "beta": 0.0965,204 "se": null,205 "t": null,206 "p": null,207 "p_stars": "***",208 "ci_lo": null,209 "ci_hi": null,210 "page": 9,211 "confidence": "high",212 "notes": "Count of supermarkets within 200 m (not a distance). Dependent variable is log price per m2; only stars printed (**** p<0.001)."213 },214 {215 "model_id": "T3-c1",216 "var_name_printed": "Urban parks area (ha) within a radius of 100 m",217 "taxonomy_id": "green_space",218 "x_transform": "level",219 "x_unit": "ha",220 "beta": 0.0541,221 "se": null,222 "t": null,223 "p": null,224 "p_stars": "***",225 "ci_lo": null,226 "ci_hi": null,227 "page": 9,228 "confidence": "high",229 "notes": "Park area in hectares within 100 m; printed as '0. 0541'. Dependent variable is log price per m2; only stars printed (**** p<0.001)."230 },231 {232 "model_id": "T3-c1",233 "var_name_printed": "Urban parks area (ha) between 100 and 200 m",234 "taxonomy_id": "green_space",235 "x_transform": "level",236 "x_unit": "ha",237 "beta": 0.0393,238 "se": null,239 "t": null,240 "p": null,241 "p_stars": "**",242 "ci_lo": null,243 "ci_hi": null,244 "page": 9,245 "confidence": "high",246 "notes": "Park area in hectares between 100 and 200 m; printed as '0. 0393'. Dependent variable is log price per m2; only stars printed (**** p<0.001)."247 },248 {249 "model_id": "T3-c1",250 "var_name_printed": "Waterway distance (Km)",251 "taxonomy_id": "water_proximity",252 "x_transform": "level",253 "x_unit": "km",254 "beta": -0.366,255 "se": null,256 "t": null,257 "p": null,258 "p_stars": "****",259 "ci_lo": null,260 "ci_hi": null,261 "page": 9,262 "confidence": "high",263 "notes": "Distance to waterway in km; printed as '-0. 366'. Dependent variable is log price per m2; only stars printed (**** p<0.001)."264 },265 {266 "model_id": "T3-c1",267 "var_name_printed": "Mediation",268 "taxonomy_id": "other",269 "x_transform": "binary",270 "x_unit": "binary",271 "beta": 0.1186,272 "se": null,273 "t": null,274 "p": null,275 "p_stars": "**",276 "ci_lo": null,277 "ci_hi": null,278 "page": 9,279 "confidence": "high",280 "notes": "Sold through a real estate agency. Dependent variable is log price per m2; only stars printed (**** p<0.001)."281 }282 ]283}