{
 "record_id": "79ef2b5c97af212a2651b0df761a0e38797c7254",
 "eligible": false,
 "exclusion_reason": "Aggregate unit of analysis: the dependent variable is the suburb median house price (Kaggle dataset of 421 Sydney suburbs, 2020-2021; 300 suburbs retained) and all regressors are suburb-level ratings (median weekly rent, traffic, public transport, nature, noise, family/pet friendliness, safety) -- no dwelling-level prices or property characteristics. Table 2 (p.4) reports B, SE, Beta, t, p for X1-X9.",
 "study": {
  "title": "Investigation Upon Factors Contributing to Housing Price Variations-Specifically Sydney for Reference",
  "year": 2024,
  "doi": "10.62051/4r609702",
  "country": "Australia",
  "region_city": "Sydney urban suburbs",
  "sample_start": 2020,
  "sample_end": 2021,
  "property_type": "unknown",
  "price_type": "listing",
  "data_source": "Kaggle dataset (KARLTSE) of 421 Sydney suburbs, 30 features, 2020-2021",
  "document_type": "conference",
  "estimators": [
   "OLS"
  ],
  "spatial_method": "none",
  "time_fe": false,
  "location_fe": false,
  "se_type": "OLS",
  "n_obs_total": 300,
  "ai_methods": [],
  "notes": "High-school student conference paper; suburb-level median house price regression on suburb ratings; not a dwelling-level hedonic model."
 },
 "models": [],
 "coefficients": []
}