{
 "record_id": "757bd683e867096bd3de6214d8e05c02d711dbcc",
 "eligible": false,
 "exclusion_reason": "Aggregate unit of analysis: regressions use Seoul dong (sub-district) level average transaction prices by housing type (multi-unit, single-unit, apartment) as the dependent variable, with facility counts per 10,000 population and park-area share at the dong level as the only regressors (Tables 6-8, pp.9-11). No dwelling-level observations and no structural characteristics; no standard errors or t-statistics printed (stars only). Not a property-level hedonic regression.",
 "study": {
  "title": "Effects of Educational and Cultural Facilities on Housing Prices in Seoul from an Accessibility Perspective",
  "year": 2021,
  "doi": "10.11628/ksppe.2021.24.5.529",
  "country": "South Korea",
  "region_city": "Seoul",
  "sample_start": null,
  "sample_end": null,
  "property_type": "mixed",
  "price_type": "transaction",
  "data_source": "Seoul dong-level real estate transaction price averages; facility counts per 10,000 population",
  "document_type": "journal",
  "estimators": [
   "OLS",
   "spatial_lag",
   "spatial_error"
  ],
  "spatial_method": "SLM and SEM at dong level",
  "time_fe": false,
  "location_fe": false,
  "se_type": "unknown",
  "n_obs_total": null,
  "ai_methods": [],
  "notes": "Dependent variable in level Korean won (dong mean). Coefficients printed in scientific notation without SEs; only stars (* p<.05, ** p<.01, *** p<.001). Regressors: public library, private educational facility, art museum, museum, historical site, number of urban parks (all per 10,000 population) and urban park area share."
 },
 "models": [],
 "coefficients": []
}