1{2 "record_id": "6a582c18a0b55c4939a0e4812ae293fd34b678de",3 "eligible": true,4 "exclusion_reason": null,5 "study": {6 "title": "Capitalization of Public School Quality into Housing Prices: An Empirical Analysis Based on School District Housing for Public Primary Schools in Shanghai",7 "year": 2018,8 "doi": "10.4236/chnstd.2018.74025",9 "country": "China",10 "region_city": "Shanghai",11 "sample_start": 0,12 "sample_end": 0,13 "property_type": "condo_apartment",14 "price_type": "listing",15 "data_source": "344 residential neighbourhoods (estates) in 7 districts of Shanghai; housing price per m2 of a representative house per neighbourhood (source platform not specified); school ranks synthesised from multiple sources",16 "document_type": "journal",17 "estimators": [18 "IV"19 ],20 "spatial_method": "none",21 "time_fe": false,22 "location_fe": false,23 "se_type": "OLS",24 "n_obs_total": 344,25 "ai_methods": [],26 "notes": "FLAG FOR HUMAN REVIEW (unit of analysis): observations are neighbourhoods/residential estates (n=344), dependent variable is the price per m2 of 'the representative house in the ith neighborhood' (Table 1: 'Sales price of a given house, RMB/m2'; abstract/conclusion speak of 'average housing price of a neighborhood'). Treated here as property-level (estate-level) rather than tract means, but may be an aggregate unit. Sample year not stated (post-2014 policy; paper 2018); price type (listing vs transaction) not stated, listing presumed. Text (p.14) says continuous positive variables enter in logs, scored/dummy variables (school quality, elevator) linearly. Author says 2SLS to address endogeneity of school quality but gives no instrument; tables are Excel regression output (Coefficient, 'Standard Deviation' = SE, t Stat, P-value). Citywide/urban/suburban sample sizes inferred from ANOVA df (344/242/102). R2 computed from ANOVA SS."27 },28 "models": [29 {30 "model_id": "T6-c1",31 "table": "6",32 "column": "1",33 "page": 16,34 "dep_var": "ln(housing price, RMB per m2, representative house of the neighbourhood)",35 "dep_transform": "log",36 "estimator": "IV",37 "n_obs": 344,38 "r2": 0.849,39 "se_or_t_in_parentheses": "se",40 "sample_subset": "citywide, 344 neighbourhoods in 7 districts; residual df 334 (Table 7); N derived from ANOVA df (not printed directly); R2 computed from ANOVA SS regression / SS total; author states 2SLS but no instrument or first stage is reported and the Excel output looks like OLS"41 },42 {43 "model_id": "T8-c1",44 "table": "8",45 "column": "1",46 "page": 17,47 "dep_var": "ln(housing price, RMB per m2, representative house of the neighbourhood)",48 "dep_transform": "log",49 "estimator": "IV",50 "n_obs": 242,51 "r2": 0.726,52 "se_or_t_in_parentheses": "se",53 "sample_subset": "urban districts; residual df 232 (Table 9); N derived from ANOVA df (not printed directly); R2 computed from ANOVA SS regression / SS total; author states 2SLS but no instrument or first stage is reported and the Excel output looks like OLS"54 },55 {56 "model_id": "T10-c1",57 "table": "10",58 "column": "1",59 "page": 18,60 "dep_var": "ln(housing price, RMB per m2, representative house of the neighbourhood)",61 "dep_transform": "log",62 "estimator": "IV",63 "n_obs": 102,64 "r2": 0.435,65 "se_or_t_in_parentheses": "se",66 "sample_subset": "suburban districts; residual df 92 (Table 11); N derived from ANOVA df (not printed directly); R2 computed from ANOVA SS regression / SS total; author states 2SLS but no instrument or first stage is reported and the Excel output looks like OLS"67 }68 ],69 "coefficients": [70 {71 "model_id": "T6-c1",72 "var_name_printed": "Quality of the Corresponding Public Primary School",73 "taxonomy_id": "school_quality",74 "x_transform": "level",75 "x_unit": "index",76 "beta": -0.031,77 "se": 0.001,78 "t": -33.79,79 "p": 8.616e-110,80 "p_stars": "",81 "ci_lo": null,82 "ci_hi": null,83 "page": 16,84 "confidence": "medium",85 "notes": "citywide rank of the corresponding public primary school (1 = best, up to 44); negative sign = better school raises price; entered linearly; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)"86 },87 {88 "model_id": "T6-c1",89 "var_name_printed": "Distance to the Corresponding Public Primary School",90 "taxonomy_id": "school_distance",91 "x_transform": "log",92 "x_unit": "m",93 "beta": -0.027,94 "se": 0.01,95 "t": -2.657,96 "p": 0.008,97 "p_stars": "",98 "ci_lo": null,99 "ci_hi": null,100 "page": 16,101 "confidence": "medium",102 "notes": "straight-line distance from neighbourhood centre to corresponding public primary school, metres, entered in logs; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)"103 },104 {105 "model_id": "T6-c1",106 "var_name_printed": "Distance to the District's CBD",107 "taxonomy_id": "cbd_distance",108 "x_transform": "log",109 "x_unit": "m",110 "beta": -0.007,111 "se": 0.011,112 "t": -0.663,113 "p": 0.508,114 "p_stars": "",115 "ci_lo": null,116 "ci_hi": null,117 "page": 16,118 "confidence": "medium",119 "notes": "straight-line distance to district CBD (Wanda Plaza), metres, entered in logs; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)"120 },121 {122 "model_id": "T6-c1",123 "var_name_printed": "Property Management Fee",124 "taxonomy_id": "public_services",125 "x_transform": "log",126 "x_unit": "currency",127 "beta": 0.029,128 "se": 0.019,129 "t": 1.536,130 "p": 0.125,131 "p_stars": "",132 "ci_lo": null,133 "ci_hi": null,134 "page": 16,135 "confidence": "medium",136 "notes": "RMB per m2 per month; continuous variables stated to enter in logarithmic form (estate upkeep fee); column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)"137 },138 {139 "model_id": "T6-c1",140 "var_name_printed": "Green Coverage Ratio",141 "taxonomy_id": "green_space",142 "x_transform": "log",143 "x_unit": "share",144 "beta": 0.002,145 "se": 0.032,146 "t": 0.072,147 "p": 0.942,148 "p_stars": "",149 "ci_lo": null,150 "ci_hi": null,151 "page": 16,152 "confidence": "medium",153 "notes": "% of open space covered by greenery in the estate; continuous -> log form per text; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)"154 },155 {156 "model_id": "T6-c1",157 "var_name_printed": "Elevator",158 "taxonomy_id": "accessibility",159 "x_transform": "dummy",160 "x_unit": "binary",161 "beta": 0.003,162 "se": 0.022,163 "t": 0.123,164 "p": 0.902,165 "p_stars": "",166 "ci_lo": null,167 "ci_hi": null,168 "page": 16,169 "confidence": "medium",170 "notes": "1 if the estate has elevators; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)"171 },172 {173 "model_id": "T6-c1",174 "var_name_printed": "Residential Area",175 "taxonomy_id": "living_area",176 "x_transform": "log",177 "x_unit": "m2",178 "beta": -0.003,179 "se": 0.024,180 "t": -0.106,181 "p": 0.916,182 "p_stars": "",183 "ci_lo": null,184 "ci_hi": null,185 "page": 16,186 "confidence": "medium",187 "notes": "floor area within a house, m2, log form per text; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)"188 },189 {190 "model_id": "T6-c1",191 "var_name_printed": "Floor Area Ratio",192 "taxonomy_id": "density",193 "x_transform": "log",194 "x_unit": "index",195 "beta": -0.016,196 "se": 0.02,197 "t": -0.775,198 "p": 0.439,199 "p_stars": "",200 "ci_lo": null,201 "ci_hi": null,202 "page": 16,203 "confidence": "medium",204 "notes": "building gross floor area / land area of the estate, log form per text; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)"205 },206 {207 "model_id": "T6-c1",208 "var_name_printed": "Building Age",209 "taxonomy_id": "age",210 "x_transform": "log",211 "x_unit": "years",212 "beta": -0.034,213 "se": 0.023,214 "t": -1.466,215 "p": 0.144,216 "p_stars": "",217 "ci_lo": null,218 "ci_hi": null,219 "page": 16,220 "confidence": "medium",221 "notes": "years since the building was built, log form (text); column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)"222 },223 {224 "model_id": "T8-c1",225 "var_name_printed": "Quality of the Corresponding Public Primary School",226 "taxonomy_id": "school_quality",227 "x_transform": "level",228 "x_unit": "index",229 "beta": -0.028,230 "se": 0.001,231 "t": -22.069,232 "p": 6.56e-59,233 "p_stars": "",234 "ci_lo": null,235 "ci_hi": null,236 "page": 17,237 "confidence": "medium",238 "notes": "citywide rank of the corresponding public primary school (1 = best, up to 44); negative sign = better school raises price; entered linearly; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)"239 },240 {241 "model_id": "T8-c1",242 "var_name_printed": "Distance to the Corresponding Public Primary School",243 "taxonomy_id": "school_distance",244 "x_transform": "log",245 "x_unit": "m",246 "beta": -0.012,247 "se": 0.01,248 "t": -1.146,249 "p": 0.253,250 "p_stars": "",251 "ci_lo": null,252 "ci_hi": null,253 "page": 17,254 "confidence": "medium",255 "notes": "straight-line distance from neighbourhood centre to corresponding public primary school, metres, entered in logs; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)"256 },257 {258 "model_id": "T8-c1",259 "var_name_printed": "Distance to the District's CBD",260 "taxonomy_id": "cbd_distance",261 "x_transform": "log",262 "x_unit": "m",263 "beta": -0.024,264 "se": 0.012,265 "t": -1.948,266 "p": 0.053,267 "p_stars": "",268 "ci_lo": null,269 "ci_hi": null,270 "page": 17,271 "confidence": "medium",272 "notes": "straight-line distance to district CBD (Wanda Plaza), metres, entered in logs; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)"273 },274 {275 "model_id": "T8-c1",276 "var_name_printed": "Property Management Fee",277 "taxonomy_id": "public_services",278 "x_transform": "log",279 "x_unit": "currency",280 "beta": 0.016,281 "se": 0.02,282 "t": 0.823,283 "p": 0.411,284 "p_stars": "",285 "ci_lo": null,286 "ci_hi": null,287 "page": 17,288 "confidence": "medium",289 "notes": "RMB per m2 per month; continuous variables stated to enter in logarithmic form (estate upkeep fee); column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)"290 },291 {292 "model_id": "T8-c1",293 "var_name_printed": "Green Coverage Ratio",294 "taxonomy_id": "green_space",295 "x_transform": "log",296 "x_unit": "share",297 "beta": 0.032,298 "se": 0.031,299 "t": 1.005,300 "p": 0.316,301 "p_stars": "",302 "ci_lo": null,303 "ci_hi": null,304 "page": 17,305 "confidence": "medium",306 "notes": "% of open space covered by greenery in the estate; continuous -> log form per text; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)"307 },308 {309 "model_id": "T8-c1",310 "var_name_printed": "Elevator",311 "taxonomy_id": "accessibility",312 "x_transform": "dummy",313 "x_unit": "binary",314 "beta": -0.01,315 "se": 0.024,316 "t": -0.429,317 "p": 0.668,318 "p_stars": "",319 "ci_lo": null,320 "ci_hi": null,321 "page": 17,322 "confidence": "medium",323 "notes": "1 if the estate has elevators; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)"324 },325 {326 "model_id": "T8-c1",327 "var_name_printed": "Residential Area",328 "taxonomy_id": "living_area",329 "x_transform": "log",330 "x_unit": "m2",331 "beta": -0.001,332 "se": 0.025,333 "t": -0.041,334 "p": 0.968,335 "p_stars": "",336 "ci_lo": null,337 "ci_hi": null,338 "page": 17,339 "confidence": "medium",340 "notes": "floor area within a house, m2, log form per text; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)"341 },342 {343 "model_id": "T8-c1",344 "var_name_printed": "Floor Area Ratio",345 "taxonomy_id": "density",346 "x_transform": "log",347 "x_unit": "index",348 "beta": -0.054,349 "se": 0.023,350 "t": -2.381,351 "p": 0.018,352 "p_stars": "",353 "ci_lo": null,354 "ci_hi": null,355 "page": 17,356 "confidence": "medium",357 "notes": "building gross floor area / land area of the estate, log form per text; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)"358 },359 {360 "model_id": "T8-c1",361 "var_name_printed": "Building Age",362 "taxonomy_id": "age",363 "x_transform": "log",364 "x_unit": "years",365 "beta": -0.071,366 "se": 0.023,367 "t": -3.122,368 "p": 0.002,369 "p_stars": "",370 "ci_lo": null,371 "ci_hi": null,372 "page": 17,373 "confidence": "medium",374 "notes": "years since the building was built, log form (text); column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)"375 },376 {377 "model_id": "T10-c1",378 "var_name_printed": "Quality of the Corresponding Public Primary School",379 "taxonomy_id": "school_quality",380 "x_transform": "level",381 "x_unit": "index",382 "beta": -0.019,383 "se": 0.003,384 "t": -6.246,385 "p": 1.289e-08,386 "p_stars": "",387 "ci_lo": null,388 "ci_hi": null,389 "page": 18,390 "confidence": "medium",391 "notes": "citywide rank of the corresponding public primary school (1 = best, up to 44); negative sign = better school raises price; entered linearly; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)"392 },393 {394 "model_id": "T10-c1",395 "var_name_printed": "Distance to the Corresponding Public Primary School",396 "taxonomy_id": "school_distance",397 "x_transform": "log",398 "x_unit": "m",399 "beta": -0.042,400 "se": 0.021,401 "t": -2.001,402 "p": 0.048,403 "p_stars": "",404 "ci_lo": null,405 "ci_hi": null,406 "page": 18,407 "confidence": "medium",408 "notes": "straight-line distance from neighbourhood centre to corresponding public primary school, metres, entered in logs; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)"409 },410 {411 "model_id": "T10-c1",412 "var_name_printed": "Distance to the District's CBD",413 "taxonomy_id": "cbd_distance",414 "x_transform": "log",415 "x_unit": "m",416 "beta": 0.042,417 "se": 0.023,418 "t": 1.806,419 "p": 0.074,420 "p_stars": "",421 "ci_lo": null,422 "ci_hi": null,423 "page": 18,424 "confidence": "medium",425 "notes": "straight-line distance to district CBD (Wanda Plaza), metres, entered in logs; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)"426 },427 {428 "model_id": "T10-c1",429 "var_name_printed": "Property Management Fee",430 "taxonomy_id": "public_services",431 "x_transform": "log",432 "x_unit": "currency",433 "beta": 0.016,434 "se": 0.039,435 "t": 0.407,436 "p": 0.685,437 "p_stars": "",438 "ci_lo": null,439 "ci_hi": null,440 "page": 18,441 "confidence": "medium",442 "notes": "RMB per m2 per month; continuous variables stated to enter in logarithmic form (estate upkeep fee); column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)"443 },444 {445 "model_id": "T10-c1",446 "var_name_printed": "Green Coverage Ratio",447 "taxonomy_id": "green_space",448 "x_transform": "log",449 "x_unit": "share",450 "beta": 0.069,451 "se": 0.095,452 "t": 0.725,453 "p": 0.47,454 "p_stars": "",455 "ci_lo": null,456 "ci_hi": null,457 "page": 18,458 "confidence": "medium",459 "notes": "% of open space covered by greenery in the estate; continuous -> log form per text; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)"460 },461 {462 "model_id": "T10-c1",463 "var_name_printed": "Elevator",464 "taxonomy_id": "accessibility",465 "x_transform": "dummy",466 "x_unit": "binary",467 "beta": 0.075,468 "se": 0.049,469 "t": 1.511,470 "p": 0.134,471 "p_stars": "",472 "ci_lo": null,473 "ci_hi": null,474 "page": 18,475 "confidence": "medium",476 "notes": "1 if the estate has elevators; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)"477 },478 {479 "model_id": "T10-c1",480 "var_name_printed": "Residential Area",481 "taxonomy_id": "living_area",482 "x_transform": "log",483 "x_unit": "m2",484 "beta": 0.049,485 "se": 0.057,486 "t": 0.868,487 "p": 0.387,488 "p_stars": "",489 "ci_lo": null,490 "ci_hi": null,491 "page": 18,492 "confidence": "medium",493 "notes": "floor area within a house, m2, log form per text; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)"494 },495 {496 "model_id": "T10-c1",497 "var_name_printed": "Floor Area Ratio",498 "taxonomy_id": "density",499 "x_transform": "log",500 "x_unit": "index",501 "beta": -0.043,502 "se": 0.043,503 "t": -0.995,504 "p": 0.322,505 "p_stars": "",506 "ci_lo": null,507 "ci_hi": null,508 "page": 18,509 "confidence": "medium",510 "notes": "building gross floor area / land area of the estate, log form per text; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)"511 },512 {513 "model_id": "T10-c1",514 "var_name_printed": "Building Age",515 "taxonomy_id": "age",516 "x_transform": "log",517 "x_unit": "years",518 "beta": 0.049,519 "se": 0.062,520 "t": 0.786,521 "p": 0.434,522 "p_stars": "",523 "ci_lo": null,524 "ci_hi": null,525 "page": 18,526 "confidence": "medium",527 "notes": "years since the building was built, log form (text); column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)"528 }529 ]530}