1{2 "record_id": "2ce98014780d8a025c9acf3e943a33fd71e8d5b6",3 "eligible": false,4 "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.",5 "study": {6 "title": "Forest pests and home values: The importance of accuracy in damage assessment and geocoding of properties",7 "year": 2017,8 "doi": "10.1016/j.jfe.2017.02.002",9 "country": "United States",10 "region_city": "Colorado front range (Golden, Boulder), wildland-urban interface",11 "sample_start": null,12 "sample_end": null,13 "property_type": "single_family",14 "price_type": "transaction",15 "data_source": "single-family home sales, Colorado front range WUI (over 900 residences; 304 treated, 604 eligible controls)",16 "document_type": "journal",17 "estimators": ["other"],18 "spatial_method": "matching (GenMatch) with Bayesian regression adjustment; sub-regional fixed effects in full-sample regression",19 "time_fe": false,20 "location_fe": true,21 "se_type": "unknown",22 "n_obs_total": 908,23 "ai_methods": [],24 "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."25 },26 "models": [],27 "coefficients": []28}29