1{2 "record_id": "2f1c2029c5f2034d797bc4a5ae390cff3782ab60",3 "eligible": false,4 "exclusion_reason": "Aggregate unit of analysis and no characteristic coefficients printed. All variables are measured at the level of 1,270 newly built residential blocks (block centroid; first-time transactions 2006-2016), i.e. block-level mean prices, not individual dwellings. Printed tables (2-5) report only the green-space area coefficient (per m2 of green space within 1 km, in log price), spline parameters and DID interaction terms; the housing/location controls (Table A1) are 'Yes' but never printed, and the appendix is not in the PDF.",5 "study": {6 "title": "Area-Based Hedonic Pricing of Urban Green Amenities in Beijing: A Spatial Piecewise Approach",7 "year": 2024,8 "doi": "10.1007/s10640-024-00861-2",9 "country": "China",10 "region_city": "Beijing",11 "sample_start": 2006,12 "sample_end": 2016,13 "property_type": "condo_apartment",14 "price_type": "transaction",15 "data_source": "China Index Academy / municipal transaction registration, first-time sales of 1,270 newly built residential blocks; Beijing green-space inventory 2014",16 "document_type": "journal",17 "estimators": [18 "OLS",19 "IV",20 "other"21 ],22 "spatial_method": "district and ring-road dummies; regression spline on distance; matching; spatial DID",23 "time_fe": true,24 "location_fe": true,25 "se_type": "unknown",26 "n_obs_total": 1270,27 "ai_methods": [28 "cross-validated model selection (regression spline knots)"29 ],30 "notes": "Green area 0-1 km coefficient: Model 1 (spline) 1.03e-3 (2.93e-4); Model 8 OLS 5.90e-4 (2.57e-4); Model 9 IV 1.40e-3 (6.42e-4); Model 11 OLS pre-2014 1.05e-3 (3.73e-4); unit of green area not stated in main text (hectares implied: 1 ha -> CNY 26.98-36.56 per m2 housing). Recorded here for reference only; not extracted because unit of analysis is block-level."31 },32 "models": [],33 "coefficients": []34}