{
 "record_id": "80c7a3882a0d8e30de9d0f2d3d4f1558e6df1c50",
 "eligible": false,
 "exclusion_reason": "Unit of analysis is the housing block (residential project/community): the dependent variable is the natural log of the block-level average transaction price per m2 in 2005 and 2012 (Tables 5-6, stepwise OLS with SE, t and p). Aggregate project means rather than individual dwelling prices; excluded from the coefficient synthesis per protocol (note: coefficients are printed with SEs and could be recovered if block-level studies are later admitted).",
 "study": {
  "title": "The Transitional Spatial Pattern of Housing Prices in Beijing: Factors and Implications",
  "year": 2014,
  "doi": "10.14246/irspsd.2.3_46",
  "country": "China",
  "region_city": "Beijing",
  "sample_start": 2005,
  "sample_end": 2012,
  "property_type": "condo_apartment",
  "price_type": "transaction",
  "data_source": "Average transaction prices of Beijing housing blocks, 2005 and 2012",
  "document_type": "journal",
  "estimators": [
   "OLS"
  ],
  "spatial_method": "none in regression (Moran's I / LISA exploratory)",
  "time_fe": false,
  "location_fe": false,
  "se_type": "OLS",
  "n_obs_total": null,
  "ai_methods": [],
  "notes": "Semi-log stepwise regressions (SPSS) of ln(average block price per m2) on distances to urban centre and sub-centre (km), bus stations within 800 m, subway within 1500 m, property management fee, greening ratio, plot ratio, hospital/park/key-school dummies, population density, building age and building-type dummies. Number of blocks not printed in extracted pages. Adjusted R2 0.771 (2005), 0.549 (2012)."
 },
 "models": [],
 "coefficients": []
}