{
 "record_id": "c7b242d28013321bceaeef0f994fd2d0dab032c0",
 "eligible": true,
 "exclusion_reason": null,
 "study": {
  "title": "Implicit Prices in Urban Real Estate Valuation",
  "year": 2013,
  "doi": "10.4067/s0718-915x2013000200009",
  "country": "Spain",
  "region_city": "Cordoba",
  "sample_start": 0,
  "sample_end": 0,
  "property_type": "condo_apartment",
  "price_type": "transaction",
  "data_source": "Random sample of 2,888 resale transactions of flats and apartments over a one-year period, obtained from real-estate brokerage companies in Cordoba",
  "document_type": "journal",
  "estimators": [
   "OLS"
  ],
  "spatial_method": "none",
  "time_fe": false,
  "location_fe": false,
  "se_type": "unknown",
  "n_obs_total": 2888,
  "ai_methods": [
   "ANN"
  ],
  "notes": "Revista de la Construccion 12(2) 116-126. Linear hedonic model in price levels (euros) with composite [0,1] indices (location, annexes) and one interaction term; compared with a 6:6-6-1:1 MLP neural network (R2 0.8605 vs 0.7738; no coefficients). Sample year not stated ('a year period'; paper 2013). Table 3 does not print N; study-level n assumed = 2,888 sample (ANN uses 80% training split)."
 },
 "models": [
  {
   "model_id": "T3-c1",
   "table": "3",
   "column": "1",
   "page": 7,
   "dep_var": "Sales price (euros)",
   "dep_transform": "level",
   "estimator": "OLS",
   "n_obs": 2888,
   "r2": 0.7738,
   "se_or_t_in_parentheses": "se",
   "sample_subset": "Full sample of 2,888 resale flats, Cordoba; parsimonious linear specification with Pav x Carp interaction; R2 0.7738 from text"
  }
 ],
 "coefficients": [
  {
   "model_id": "T3-c1",
   "var_name_printed": "Surface",
   "taxonomy_id": "living_area",
   "x_transform": "level",
   "x_unit": "m2",
   "beta": 1109.951,
   "se": 83.6205,
   "t": 13.27368,
   "p": 0.0,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 7,
   "confidence": "high",
   "notes": "size of the flat in m2 including common areas; Table 3 columns: Coefficients, Standard error, t-Student, Prob.; dependent variable = sales price in euros (level)"
  },
  {
   "model_id": "T3-c1",
   "var_name_printed": "Age",
   "taxonomy_id": "age",
   "x_transform": "level",
   "x_unit": "years",
   "beta": -1067.449,
   "se": 173.5725,
   "t": -6.149872,
   "p": 0.0,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 7,
   "confidence": "high",
   "notes": "age of the building in years; Table 3 columns: Coefficients, Standard error, t-Student, Prob.; dependent variable = sales price in euros (level)"
  },
  {
   "model_id": "T3-c1",
   "var_name_printed": "Location",
   "taxonomy_id": "other",
   "x_transform": "level",
   "x_unit": "index",
   "beta": 64297.29,
   "se": 5494.403,
   "t": 11.70232,
   "p": 0.0,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 7,
   "confidence": "medium",
   "notes": "location index scaled to [0,1]: position in the city, characteristics of the area and income level of the zone (33 income zones); Table 3 columns: Coefficients, Standard error, t-Student, Prob.; dependent variable = sales price in euros (level)"
  },
  {
   "model_id": "T3-c1",
   "var_name_printed": "Annexes",
   "taxonomy_id": "other",
   "x_transform": "level",
   "x_unit": "index",
   "beta": 18458.66,
   "se": 4572.246,
   "t": 4.037111,
   "p": 0.0001,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 7,
   "confidence": "medium",
   "notes": "annex index scaled to [0,1] combining garage and store room (closest leaf would be garage, but composite); Table 3 columns: Coefficients, Standard error, t-Student, Prob.; dependent variable = sales price in euros (level)"
  },
  {
   "model_id": "T3-c1",
   "var_name_printed": "Expenses",
   "taxonomy_id": "other",
   "x_transform": "level",
   "x_unit": "currency",
   "beta": 1296.708,
   "se": 105.9213,
   "t": 12.24218,
   "p": 0.0,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 7,
   "confidence": "medium",
   "notes": "community (common) expenses in euros (period not stated, presumably monthly); Table 3 columns: Coefficients, Standard error, t-Student, Prob.; dependent variable = sales price in euros (level)"
  },
  {
   "model_id": "T3-c1",
   "var_name_printed": "Pav xCarp",
   "taxonomy_id": "other",
   "x_transform": "other",
   "x_unit": "index",
   "beta": 5117.27,
   "se": 504.0529,
   "t": 10.15225,
   "p": 0.0,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 7,
   "confidence": "medium",
   "notes": "interaction between quality indices of pavement (flooring) condition and external carpentry (windows); Table 3 columns: Coefficients, Standard error, t-Student, Prob.; dependent variable = sales price in euros (level)"
  }
 ]
}