1{2 "record_id": "37a309783a11809263623703621db3a26e46597f",3 "eligible": true,4 "exclusion_reason": null,5 "study": {6 "title": "The Effect of Central Business District on House Prices in Chengdu Metropolitan Area: A Hedonic Approach",7 "year": 2015,8 "doi": "10.2991/cas-15.2015.83",9 "country": "China",10 "region_city": "Chengdu (within the Around-the-city Expressway), Sichuan",11 "sample_start": 2014,12 "sample_end": 2014,13 "property_type": "condo_apartment",14 "price_type": "listing",15 "data_source": "Asking ('call') prices of 180 ordinary older second-hand units listed on Sohu/Sina real-estate websites; sampled mid-January to mid-April (year not printed; website references dated 2014)",16 "document_type": "conference",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": 180,25 "ai_methods": [],26 "notes": "Log-log specification, all regressors in natural logs including ordinal variables. N = 180 units ('2160 observations' = 180 units x 12 variables). Sample year inferred from the dated website references (2014) — not printed explicitly. Price variable PRICE (mean 97.8, max 365) unit not stated (likely total asking price in 10,000 RMB). t-statistics and p-values in separate columns; no stars. Table II preliminary (11 regressors) and Table III stepwise (9 regressors); an 'Error term' row (AR/MA term) not extracted. White heteroskedasticity test significant; SEs presumably conventional."27 },28 "models": [29 {30 "model_id": "T2-c1",31 "table": "II",32 "column": "1",33 "page": 2,34 "dep_var": "ln(PRICE) (asking price)",35 "dep_transform": "log",36 "estimator": "OLS",37 "n_obs": 180,38 "r2": 0.72,39 "se_or_t_in_parentheses": "none",40 "sample_subset": "Preliminary regression with all 11 features; R2 0.72, adj 0.70"41 },42 {43 "model_id": "T3-c1",44 "table": "III",45 "column": "1",46 "page": 3,47 "dep_var": "ln(PRICE) (asking price)",48 "dep_transform": "log",49 "estimator": "OLS",50 "n_obs": 180,51 "r2": 0.72,52 "se_or_t_in_parentheses": "none",53 "sample_subset": "Stepwise regression (RING and HALL dropped); R2 0.72, adj 0.70"54 }55 ],56 "coefficients": [57 {58 "model_id": "T2-c1",59 "var_name_printed": "LOG(AREA)",60 "taxonomy_id": "living_area",61 "x_transform": "log",62 "x_unit": "m2",63 "beta": 0.89,64 "se": null,65 "t": 8.35,66 "p": 0.0,67 "p_stars": "",68 "ci_lo": null,69 "ci_hi": null,70 "page": 2,71 "confidence": "high",72 "notes": "Floor space 50-200 m2"73 },74 {75 "model_id": "T2-c1",76 "var_name_printed": "LOG(DECORATION)",77 "taxonomy_id": "condition",78 "x_transform": "log",79 "x_unit": "index",80 "beta": 0.04,81 "se": null,82 "t": 1.59,83 "p": 0.11,84 "p_stars": "",85 "ci_lo": null,86 "ci_hi": null,87 "page": 2,88 "confidence": "high",89 "notes": "Decoration grade 1-4 (ordinal), entered in log"90 },91 {92 "model_id": "T2-c1",93 "var_name_printed": "LOG(BEDROOM)",94 "taxonomy_id": "bedrooms",95 "x_transform": "log",96 "x_unit": "count",97 "beta": 0.07,98 "se": null,99 "t": 0.89,100 "p": 0.37,101 "p_stars": "",102 "ci_lo": null,103 "ci_hi": null,104 "page": 2,105 "confidence": "high",106 "notes": ""107 },108 {109 "model_id": "T2-c1",110 "var_name_printed": "LOG(HALL)",111 "taxonomy_id": "other",112 "x_transform": "log",113 "x_unit": "count",114 "beta": 0.07,115 "se": null,116 "t": 0.8,117 "p": 0.42,118 "p_stars": "",119 "ci_lo": null,120 "ci_hi": null,121 "page": 2,122 "confidence": "high",123 "notes": "Number of halls (living/dining rooms)"124 },125 {126 "model_id": "T2-c1",127 "var_name_printed": "LOG(BATHROOM)",128 "taxonomy_id": "bathrooms",129 "x_transform": "log",130 "x_unit": "count",131 "beta": 0.06,132 "se": null,133 "t": 1.1,134 "p": 0.27,135 "p_stars": "",136 "ci_lo": null,137 "ci_hi": null,138 "page": 2,139 "confidence": "high",140 "notes": ""141 },142 {143 "model_id": "T2-c1",144 "var_name_printed": "LOG(FLOORLEVEL)",145 "taxonomy_id": "floor_level",146 "x_transform": "log",147 "x_unit": "count",148 "beta": -0.01,149 "se": null,150 "t": -0.84,151 "p": 0.4,152 "p_stars": "",153 "ci_lo": null,154 "ci_hi": null,155 "page": 2,156 "confidence": "high",157 "notes": ""158 },159 {160 "model_id": "T2-c1",161 "var_name_printed": "LOG(YEAR)",162 "taxonomy_id": "age",163 "x_transform": "log",164 "x_unit": "years",165 "beta": -0.16,166 "se": null,167 "t": -5.22,168 "p": 0.0,169 "p_stars": "",170 "ci_lo": null,171 "ci_hi": null,172 "page": 2,173 "confidence": "high",174 "notes": "YEAR = house age in years (mean 8.6), not year built"175 },176 {177 "model_id": "T2-c1",178 "var_name_printed": "LOG(GREENCOVERAGE)",179 "taxonomy_id": "green_space",180 "x_transform": "log",181 "x_unit": "share",182 "beta": 0.05,183 "se": null,184 "t": 2.79,185 "p": 0.01,186 "p_stars": "",187 "ci_lo": null,188 "ci_hi": null,189 "page": 2,190 "confidence": "high",191 "notes": "Green coverage rate of the estate in percent"192 },193 {194 "model_id": "T2-c1",195 "var_name_printed": "LOG(RING)",196 "taxonomy_id": "other",197 "x_transform": "log",198 "x_unit": "index",199 "beta": 0.01,200 "se": null,201 "t": 0.12,202 "p": 0.91,203 "p_stars": "",204 "ci_lo": null,205 "ci_hi": null,206 "page": 2,207 "confidence": "high",208 "notes": "Ring-road zone ordinal 1-4"209 },210 {211 "model_id": "T2-c1",212 "var_name_printed": "LOG(DIST_CBD)",213 "taxonomy_id": "cbd_distance",214 "x_transform": "log",215 "x_unit": "m",216 "beta": -0.09,217 "se": null,218 "t": -2.04,219 "p": 0.04,220 "p_stars": "",221 "ci_lo": null,222 "ci_hi": null,223 "page": 2,224 "confidence": "high",225 "notes": "Distance to Yan Shi Kou CBD in metres"226 },227 {228 "model_id": "T2-c1",229 "var_name_printed": "LOG(UNDERGROUND)",230 "taxonomy_id": "transit_distance",231 "x_transform": "other",232 "x_unit": "index",233 "beta": -0.08,234 "se": null,235 "t": -1.9,236 "p": 0.06,237 "p_stars": "",238 "ci_lo": null,239 "ci_hi": null,240 "page": 2,241 "confidence": "high",242 "notes": "Log of ordinal walking-distance zone to nearest metro station (1 = <400 m ... 5 = >1600 m)"243 },244 {245 "model_id": "T3-c1",246 "var_name_printed": "LOG(AREA)",247 "taxonomy_id": "living_area",248 "x_transform": "log",249 "x_unit": "m2",250 "beta": 0.92,251 "se": null,252 "t": 9.06,253 "p": 0.0,254 "p_stars": "",255 "ci_lo": null,256 "ci_hi": null,257 "page": 3,258 "confidence": "high",259 "notes": "Floor space 50-200 m2"260 },261 {262 "model_id": "T3-c1",263 "var_name_printed": "LOG(DECORATION)",264 "taxonomy_id": "condition",265 "x_transform": "log",266 "x_unit": "index",267 "beta": 0.05,268 "se": null,269 "t": 1.68,270 "p": 0.09,271 "p_stars": "",272 "ci_lo": null,273 "ci_hi": null,274 "page": 3,275 "confidence": "high",276 "notes": "Decoration grade 1-4 (ordinal), entered in log"277 },278 {279 "model_id": "T3-c1",280 "var_name_printed": "LOG(BEDROOM)",281 "taxonomy_id": "bedrooms",282 "x_transform": "log",283 "x_unit": "count",284 "beta": 0.07,285 "se": null,286 "t": 0.94,287 "p": 0.35,288 "p_stars": "",289 "ci_lo": null,290 "ci_hi": null,291 "page": 3,292 "confidence": "high",293 "notes": ""294 },295 {296 "model_id": "T3-c1",297 "var_name_printed": "LOG(BATHROOM)",298 "taxonomy_id": "bathrooms",299 "x_transform": "log",300 "x_unit": "count",301 "beta": 0.06,302 "se": null,303 "t": 1.06,304 "p": 0.29,305 "p_stars": "",306 "ci_lo": null,307 "ci_hi": null,308 "page": 3,309 "confidence": "high",310 "notes": ""311 },312 {313 "model_id": "T3-c1",314 "var_name_printed": "LOG(FLOORLEVEL)",315 "taxonomy_id": "floor_level",316 "x_transform": "log",317 "x_unit": "count",318 "beta": -0.01,319 "se": null,320 "t": -0.84,321 "p": 0.4,322 "p_stars": "",323 "ci_lo": null,324 "ci_hi": null,325 "page": 3,326 "confidence": "high",327 "notes": ""328 },329 {330 "model_id": "T3-c1",331 "var_name_printed": "LOG(YEAR)",332 "taxonomy_id": "age",333 "x_transform": "log",334 "x_unit": "years",335 "beta": -0.17,336 "se": null,337 "t": -5.38,338 "p": 0.0,339 "p_stars": "",340 "ci_lo": null,341 "ci_hi": null,342 "page": 3,343 "confidence": "high",344 "notes": "YEAR = house age in years (mean 8.6), not year built"345 },346 {347 "model_id": "T3-c1",348 "var_name_printed": "LOG(GREENCOVERAGE)",349 "taxonomy_id": "green_space",350 "x_transform": "log",351 "x_unit": "share",352 "beta": 0.05,353 "se": null,354 "t": 2.76,355 "p": 0.01,356 "p_stars": "",357 "ci_lo": null,358 "ci_hi": null,359 "page": 3,360 "confidence": "high",361 "notes": "Green coverage rate of the estate in percent"362 },363 {364 "model_id": "T3-c1",365 "var_name_printed": "LOG(DIST_CBD)",366 "taxonomy_id": "cbd_distance",367 "x_transform": "log",368 "x_unit": "m",369 "beta": -0.09,370 "se": null,371 "t": -3.83,372 "p": 0.0,373 "p_stars": "",374 "ci_lo": null,375 "ci_hi": null,376 "page": 3,377 "confidence": "high",378 "notes": "Distance to Yan Shi Kou CBD in metres"379 },380 {381 "model_id": "T3-c1",382 "var_name_printed": "LOG(UNDERGROUND)",383 "taxonomy_id": "transit_distance",384 "x_transform": "other",385 "x_unit": "index",386 "beta": -0.07,387 "se": null,388 "t": -1.85,389 "p": 0.07,390 "p_stars": "",391 "ci_lo": null,392 "ci_hi": null,393 "page": 3,394 "confidence": "high",395 "notes": "Log of ordinal walking-distance zone to nearest metro station (1 = <400 m ... 5 = >1600 m)"396 }397 ]398}