1{2 "record_id": "a9aa8ff2e63af06927e90407046655fab060c351",3 "eligible": false,4 "exclusion_reason": "No printed coefficients for property/neighbourhood characteristics. The hedonic control vector (distance to CBD, plot area, year built, dwelling type, SEIFA, distances to transport/schools/parks, flood/heritage overlays) is explicitly 'not shown' (p. 17); Table 5 reports only the adjusted interrupted-time-series treatment effects of infill development within 100 m distance rings (exponentiated coefficients, SEs omitted), which are not hedonic characteristic coefficients. Supplementary tables are not in the PDF.",5 "study": {6 "title": "The Size and Spatial Extent of Neighborhood Price Impacts of Infill Development: Scale Matters?",7 "year": 2022,8 "doi": "10.1007/s11146-022-09916-x",9 "country": "Australia",10 "region_city": "Melbourne",11 "sample_start": 2006,12 "sample_end": 2015,13 "property_type": "mixed",14 "price_type": "transaction",15 "data_source": "Valuer General Victoria sales 2006 and 2008-2015, 418,273 transactions; Housing Development Data for infill",16 "document_type": "journal",17 "estimators": [18 "other"19 ],20 "spatial_method": "postcode and LGA fixed effects",21 "time_fe": true,22 "location_fe": true,23 "se_type": "robust",24 "n_obs_total": 418273,25 "ai_methods": [],26 "notes": "Stata hetregress (heteroskedastic regression), log real price (2006 AUD); AITS design with before/after level and trend effects per infill type and distance ring."27 },28 "models": [],29 "coefficients": []30}