{
 "record_id": "6a582c18a0b55c4939a0e4812ae293fd34b678de",
 "eligible": true,
 "exclusion_reason": null,
 "study": {
  "title": "Capitalization of Public School Quality into Housing Prices: An Empirical Analysis Based on School District Housing for Public Primary Schools in Shanghai",
  "year": 2018,
  "doi": "10.4236/chnstd.2018.74025",
  "country": "China",
  "region_city": "Shanghai",
  "sample_start": 0,
  "sample_end": 0,
  "property_type": "condo_apartment",
  "price_type": "listing",
  "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",
  "document_type": "journal",
  "estimators": [
   "IV"
  ],
  "spatial_method": "none",
  "time_fe": false,
  "location_fe": false,
  "se_type": "OLS",
  "n_obs_total": 344,
  "ai_methods": [],
  "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."
 },
 "models": [
  {
   "model_id": "T6-c1",
   "table": "6",
   "column": "1",
   "page": 16,
   "dep_var": "ln(housing price, RMB per m2, representative house of the neighbourhood)",
   "dep_transform": "log",
   "estimator": "IV",
   "n_obs": 344,
   "r2": 0.849,
   "se_or_t_in_parentheses": "se",
   "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"
  },
  {
   "model_id": "T8-c1",
   "table": "8",
   "column": "1",
   "page": 17,
   "dep_var": "ln(housing price, RMB per m2, representative house of the neighbourhood)",
   "dep_transform": "log",
   "estimator": "IV",
   "n_obs": 242,
   "r2": 0.726,
   "se_or_t_in_parentheses": "se",
   "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"
  },
  {
   "model_id": "T10-c1",
   "table": "10",
   "column": "1",
   "page": 18,
   "dep_var": "ln(housing price, RMB per m2, representative house of the neighbourhood)",
   "dep_transform": "log",
   "estimator": "IV",
   "n_obs": 102,
   "r2": 0.435,
   "se_or_t_in_parentheses": "se",
   "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"
  }
 ],
 "coefficients": [
  {
   "model_id": "T6-c1",
   "var_name_printed": "Quality of the Corresponding Public Primary School",
   "taxonomy_id": "school_quality",
   "x_transform": "level",
   "x_unit": "index",
   "beta": -0.031,
   "se": 0.001,
   "t": -33.79,
   "p": 8.616e-110,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 16,
   "confidence": "medium",
   "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)"
  },
  {
   "model_id": "T6-c1",
   "var_name_printed": "Distance to the Corresponding Public Primary School",
   "taxonomy_id": "school_distance",
   "x_transform": "log",
   "x_unit": "m",
   "beta": -0.027,
   "se": 0.01,
   "t": -2.657,
   "p": 0.008,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 16,
   "confidence": "medium",
   "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)"
  },
  {
   "model_id": "T6-c1",
   "var_name_printed": "Distance to the District's CBD",
   "taxonomy_id": "cbd_distance",
   "x_transform": "log",
   "x_unit": "m",
   "beta": -0.007,
   "se": 0.011,
   "t": -0.663,
   "p": 0.508,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 16,
   "confidence": "medium",
   "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)"
  },
  {
   "model_id": "T6-c1",
   "var_name_printed": "Property Management Fee",
   "taxonomy_id": "public_services",
   "x_transform": "log",
   "x_unit": "currency",
   "beta": 0.029,
   "se": 0.019,
   "t": 1.536,
   "p": 0.125,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 16,
   "confidence": "medium",
   "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)"
  },
  {
   "model_id": "T6-c1",
   "var_name_printed": "Green Coverage Ratio",
   "taxonomy_id": "green_space",
   "x_transform": "log",
   "x_unit": "share",
   "beta": 0.002,
   "se": 0.032,
   "t": 0.072,
   "p": 0.942,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 16,
   "confidence": "medium",
   "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)"
  },
  {
   "model_id": "T6-c1",
   "var_name_printed": "Elevator",
   "taxonomy_id": "accessibility",
   "x_transform": "dummy",
   "x_unit": "binary",
   "beta": 0.003,
   "se": 0.022,
   "t": 0.123,
   "p": 0.902,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 16,
   "confidence": "medium",
   "notes": "1 if the estate has elevators; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)"
  },
  {
   "model_id": "T6-c1",
   "var_name_printed": "Residential Area",
   "taxonomy_id": "living_area",
   "x_transform": "log",
   "x_unit": "m2",
   "beta": -0.003,
   "se": 0.024,
   "t": -0.106,
   "p": 0.916,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 16,
   "confidence": "medium",
   "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)"
  },
  {
   "model_id": "T6-c1",
   "var_name_printed": "Floor Area Ratio",
   "taxonomy_id": "density",
   "x_transform": "log",
   "x_unit": "index",
   "beta": -0.016,
   "se": 0.02,
   "t": -0.775,
   "p": 0.439,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 16,
   "confidence": "medium",
   "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)"
  },
  {
   "model_id": "T6-c1",
   "var_name_printed": "Building Age",
   "taxonomy_id": "age",
   "x_transform": "log",
   "x_unit": "years",
   "beta": -0.034,
   "se": 0.023,
   "t": -1.466,
   "p": 0.144,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 16,
   "confidence": "medium",
   "notes": "years since the building was built, log form (text); column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)"
  },
  {
   "model_id": "T8-c1",
   "var_name_printed": "Quality of the Corresponding Public Primary School",
   "taxonomy_id": "school_quality",
   "x_transform": "level",
   "x_unit": "index",
   "beta": -0.028,
   "se": 0.001,
   "t": -22.069,
   "p": 6.56e-59,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 17,
   "confidence": "medium",
   "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)"
  },
  {
   "model_id": "T8-c1",
   "var_name_printed": "Distance to the Corresponding Public Primary School",
   "taxonomy_id": "school_distance",
   "x_transform": "log",
   "x_unit": "m",
   "beta": -0.012,
   "se": 0.01,
   "t": -1.146,
   "p": 0.253,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 17,
   "confidence": "medium",
   "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)"
  },
  {
   "model_id": "T8-c1",
   "var_name_printed": "Distance to the District's CBD",
   "taxonomy_id": "cbd_distance",
   "x_transform": "log",
   "x_unit": "m",
   "beta": -0.024,
   "se": 0.012,
   "t": -1.948,
   "p": 0.053,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 17,
   "confidence": "medium",
   "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)"
  },
  {
   "model_id": "T8-c1",
   "var_name_printed": "Property Management Fee",
   "taxonomy_id": "public_services",
   "x_transform": "log",
   "x_unit": "currency",
   "beta": 0.016,
   "se": 0.02,
   "t": 0.823,
   "p": 0.411,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 17,
   "confidence": "medium",
   "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)"
  },
  {
   "model_id": "T8-c1",
   "var_name_printed": "Green Coverage Ratio",
   "taxonomy_id": "green_space",
   "x_transform": "log",
   "x_unit": "share",
   "beta": 0.032,
   "se": 0.031,
   "t": 1.005,
   "p": 0.316,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 17,
   "confidence": "medium",
   "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)"
  },
  {
   "model_id": "T8-c1",
   "var_name_printed": "Elevator",
   "taxonomy_id": "accessibility",
   "x_transform": "dummy",
   "x_unit": "binary",
   "beta": -0.01,
   "se": 0.024,
   "t": -0.429,
   "p": 0.668,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 17,
   "confidence": "medium",
   "notes": "1 if the estate has elevators; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)"
  },
  {
   "model_id": "T8-c1",
   "var_name_printed": "Residential Area",
   "taxonomy_id": "living_area",
   "x_transform": "log",
   "x_unit": "m2",
   "beta": -0.001,
   "se": 0.025,
   "t": -0.041,
   "p": 0.968,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 17,
   "confidence": "medium",
   "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)"
  },
  {
   "model_id": "T8-c1",
   "var_name_printed": "Floor Area Ratio",
   "taxonomy_id": "density",
   "x_transform": "log",
   "x_unit": "index",
   "beta": -0.054,
   "se": 0.023,
   "t": -2.381,
   "p": 0.018,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 17,
   "confidence": "medium",
   "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)"
  },
  {
   "model_id": "T8-c1",
   "var_name_printed": "Building Age",
   "taxonomy_id": "age",
   "x_transform": "log",
   "x_unit": "years",
   "beta": -0.071,
   "se": 0.023,
   "t": -3.122,
   "p": 0.002,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 17,
   "confidence": "medium",
   "notes": "years since the building was built, log form (text); column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)"
  },
  {
   "model_id": "T10-c1",
   "var_name_printed": "Quality of the Corresponding Public Primary School",
   "taxonomy_id": "school_quality",
   "x_transform": "level",
   "x_unit": "index",
   "beta": -0.019,
   "se": 0.003,
   "t": -6.246,
   "p": 1.289e-08,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 18,
   "confidence": "medium",
   "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)"
  },
  {
   "model_id": "T10-c1",
   "var_name_printed": "Distance to the Corresponding Public Primary School",
   "taxonomy_id": "school_distance",
   "x_transform": "log",
   "x_unit": "m",
   "beta": -0.042,
   "se": 0.021,
   "t": -2.001,
   "p": 0.048,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 18,
   "confidence": "medium",
   "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)"
  },
  {
   "model_id": "T10-c1",
   "var_name_printed": "Distance to the District's CBD",
   "taxonomy_id": "cbd_distance",
   "x_transform": "log",
   "x_unit": "m",
   "beta": 0.042,
   "se": 0.023,
   "t": 1.806,
   "p": 0.074,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 18,
   "confidence": "medium",
   "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)"
  },
  {
   "model_id": "T10-c1",
   "var_name_printed": "Property Management Fee",
   "taxonomy_id": "public_services",
   "x_transform": "log",
   "x_unit": "currency",
   "beta": 0.016,
   "se": 0.039,
   "t": 0.407,
   "p": 0.685,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 18,
   "confidence": "medium",
   "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)"
  },
  {
   "model_id": "T10-c1",
   "var_name_printed": "Green Coverage Ratio",
   "taxonomy_id": "green_space",
   "x_transform": "log",
   "x_unit": "share",
   "beta": 0.069,
   "se": 0.095,
   "t": 0.725,
   "p": 0.47,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 18,
   "confidence": "medium",
   "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)"
  },
  {
   "model_id": "T10-c1",
   "var_name_printed": "Elevator",
   "taxonomy_id": "accessibility",
   "x_transform": "dummy",
   "x_unit": "binary",
   "beta": 0.075,
   "se": 0.049,
   "t": 1.511,
   "p": 0.134,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 18,
   "confidence": "medium",
   "notes": "1 if the estate has elevators; column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)"
  },
  {
   "model_id": "T10-c1",
   "var_name_printed": "Residential Area",
   "taxonomy_id": "living_area",
   "x_transform": "log",
   "x_unit": "m2",
   "beta": 0.049,
   "se": 0.057,
   "t": 0.868,
   "p": 0.387,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 18,
   "confidence": "medium",
   "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)"
  },
  {
   "model_id": "T10-c1",
   "var_name_printed": "Floor Area Ratio",
   "taxonomy_id": "density",
   "x_transform": "log",
   "x_unit": "index",
   "beta": -0.043,
   "se": 0.043,
   "t": -0.995,
   "p": 0.322,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 18,
   "confidence": "medium",
   "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)"
  },
  {
   "model_id": "T10-c1",
   "var_name_printed": "Building Age",
   "taxonomy_id": "age",
   "x_transform": "log",
   "x_unit": "years",
   "beta": 0.049,
   "se": 0.062,
   "t": 0.786,
   "p": 0.434,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 18,
   "confidence": "medium",
   "notes": "years since the building was built, log form (text); column headed 'Standard Deviation' is the coefficient standard error (Excel output; t = coef/SD)"
  }
 ]
}