1{2 "record_id": "5170d50eab56ddf40c03eaf3e11552023cf9142d",3 "eligible": false,4 "exclusion_reason": "Hedonic (restricted/unrestricted) and hybrid models are estimated on Sydney house sales 1971-2011 but no characteristic coefficients are printed anywhere in the paper; footnote 7 states 'All model estimates are available upon request from the authors'. Only summary statistics, goodness-of-fit and index growth-rate tables are reported.",5 "study": {6 "title": "House Price Models for Banking and Insurance Applications: The Impact of Property Characteristics",7 "year": 2017,8 "doi": "10.1515/apjri-2017-0003",9 "country": "Australia",10 "region_city": "Sydney Statistical Division",11 "sample_start": 1971,12 "sample_end": 2011,13 "property_type": "single_family",14 "price_type": "transaction",15 "data_source": "Residex Pty Ltd",16 "document_type": "journal",17 "estimators": [18 "OLS",19 "other"20 ],21 "spatial_method": "postcode dummies",22 "time_fe": true,23 "location_fe": true,24 "se_type": "unknown",25 "n_obs_total": 757150,26 "ai_methods": [],27 "notes": "Covariates: bedrooms, bathrooms, garages, quadratic age, decade-built dummies, log land area, quadratic distance to CBD, postcode and time dummies. n_obs_total = 321,673 + 435,477 houses (Table 3); coefficients not printed."28 },29 "models": [],30 "coefficients": []31}