{
 "record_id": "2ce98014780d8a025c9acf3e943a33fd71e8d5b6",
 "eligible": false,
 "exclusion_reason": "No hedonic regression coefficients on property characteristics are printed. The paper reports only average treatment effects (ATT, in $000s per home) of Mountain Pine Beetle tree damage from a GenMatch matching estimator with Bayesian regression adjustment (Table 4, p. 8/53); the auxiliary weighted-OLS regression coefficients for age, square footage, lot size, bedrooms, bathrooms, wildfire and quarter indicators are not reported. Flag for human review: the ATTs (full sample -10.471 (2.926); Golden -23.097 (5.871); Boulder -124.338 (81.445), posterior mean (std), benchmark PI-visual) could serve a qualitative environmental synthesis but are not hedonic coefficients.",
 "study": {
  "title": "Forest pests and home values: The importance of accuracy in damage assessment and geocoding of properties",
  "year": 2017,
  "doi": "10.1016/j.jfe.2017.02.002",
  "country": "United States",
  "region_city": "Colorado front range (Golden, Boulder), wildland-urban interface",
  "sample_start": null,
  "sample_end": null,
  "property_type": "single_family",
  "price_type": "transaction",
  "data_source": "single-family home sales, Colorado front range WUI (over 900 residences; 304 treated, 604 eligible controls)",
  "document_type": "journal",
  "estimators": ["other"],
  "spatial_method": "matching (GenMatch) with Bayesian regression adjustment; sub-regional fixed effects in full-sample regression",
  "time_fe": false,
  "location_fe": true,
  "se_type": "unknown",
  "n_obs_total": 908,
  "ai_methods": [],
  "notes": "Journal of Forest Economics 26 (2017) 46-55. Sample years of transactions not stated in the extracted pages. Only matching ATTs reported; not a coefficient-level hedonic study."
 },
 "models": [],
 "coefficients": []
}