{
 "record_id": "8506f16b0710a57ed835f9583338b207fd204258",
 "eligible": true,
 "exclusion_reason": null,
 "study": {
  "title": "Analysis of Tianjin real estate market: multiple linear regression prediction method",
  "year": 2024,
  "doi": "10.62051/a4tma782",
  "country": "China",
  "region_city": "Tianjin",
  "sample_start": 2018,
  "sample_end": 2022,
  "property_type": "unknown",
  "price_type": "transaction",
  "data_source": "Tianjin real estate transaction records 2018-2022 (source not specified)",
  "document_type": "conference",
  "estimators": [
   "OLS"
  ],
  "spatial_method": "none",
  "time_fe": false,
  "location_fe": false,
  "se_type": "OLS",
  "n_obs_total": null,
  "ai_methods": [],
  "notes": "High-school student conference paper. Table 1 (p.4) reports B, SE, t and p for four regressors; dependent variable 'house price' in yuan (level; whether total price or price per m2 is not stated). Sample size, descriptive statistics and data provider are not reported; all printed values are round numbers (450/35, -200/60, -800/120, 1200/150, intercept 50000/15000, R2 0.85, F 75.00) and appear illustrative rather than estimated -- all coefficients recorded with confidence 'low' (exclude from primary synthesis; flag for human review). 'Supporting facilities' is a composite amenity score (schools, hospitals, shopping centres)."
 },
 "models": [
  {
   "model_id": "T1-c1",
   "table": "1",
   "column": "1",
   "page": 4,
   "dep_var": "house price (yuan; total vs per-m2 not stated)",
   "dep_transform": "level",
   "estimator": "OLS",
   "n_obs": null,
   "r2": 0.85,
   "se_or_t_in_parentheses": "se",
   "sample_subset": "All Tianjin transactions 2018-2022 (n not reported); R2 0.85, adjusted R2 0.83, F 75.00"
  }
 ],
 "coefficients": [
  {
   "model_id": "T1-c1",
   "var_name_printed": "Housing area (X1) (per square meter)",
   "taxonomy_id": "living_area",
   "x_transform": "level",
   "x_unit": "m2",
   "beta": 450,
   "se": 35,
   "t": 12.86,
   "p": 0.001,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 4,
   "confidence": "low",
   "notes": "Housing area in square metres; p printed as '<0.001' (upper bound recorded); values appear illustrative (round numbers, no sample size) -- do not use in primary synthesis"
  },
  {
   "model_id": "T1-c1",
   "var_name_printed": "Room age (X2) (per year)",
   "taxonomy_id": "age",
   "x_transform": "level",
   "x_unit": "years",
   "beta": -200,
   "se": 60,
   "t": -3.33,
   "p": 0.01,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 4,
   "confidence": "low",
   "notes": "Age of the house in years; p printed as '<0.01' (upper bound recorded); values appear illustrative (round numbers, no sample size) -- do not use in primary synthesis"
  },
  {
   "model_id": "T1-c1",
   "var_name_printed": "Geographical location (X3) (per kilometer)",
   "taxonomy_id": "cbd_distance",
   "x_transform": "level",
   "x_unit": "km",
   "beta": -800,
   "se": 120,
   "t": -6.67,
   "p": 0.001,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 4,
   "confidence": "low",
   "notes": "Distance from the city centre in km; p printed as '<0.001' (upper bound recorded); values appear illustrative (round numbers, no sample size) -- do not use in primary synthesis"
  },
  {
   "model_id": "T1-c1",
   "var_name_printed": "Supporting facilities (X4) (each score)",
   "taxonomy_id": "neighbourhood_amenities",
   "x_transform": "level",
   "x_unit": "score",
   "beta": 1200,
   "se": 150,
   "t": 8.0,
   "p": 0.001,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 4,
   "confidence": "low",
   "notes": "Composite score of surrounding facilities (schools, hospitals, shopping centres); p printed as '<0.001' (upper bound recorded); values appear illustrative (round numbers, no sample size) -- do not use in primary synthesis"
  }
 ]
}