1{2 "record_id": "61571b403ee0b92394b214f7249ffc6c6a95a4dc",3 "eligible": false,4 "exclusion_reason": "Prediction-only paper: describes the Norwegian tax-valuation hedonic model (log price per m2 on size, age, housing type, year dummies and geographic calculation groups) but the PDF reports only prediction-performance tables (Tables 1-3: absolute errors, R2) and tax-revenue/distributional tables (Tables 4-5); no hedonic coefficient estimates are printed (coefficient appendix tables, if any, are in an online appendix not included).",5 "study": {6 "title": "Improving housing valuation for taxation: the Norwegian case",7 "year": 2025,8 "doi": "10.1007/s10797-025-09928-2",9 "country": "Norway",10 "region_city": "Norway (national)",11 "sample_start": 2011,12 "sample_end": 2020,13 "property_type": "mixed",14 "price_type": "transaction",15 "data_source": "Norwegian housing transaction register 2011-2020 (single-family, semi-detached and apartments)",16 "document_type": "journal",17 "estimators": [18 "OLS"19 ],20 "spatial_method": "geographic calculation groups (k-means-type clustering of basic statistical units)",21 "time_fe": true,22 "location_fe": true,23 "se_type": "unknown",24 "n_obs_total": 0,25 "ai_methods": [26 "clustering (machine learning grouping of geographical units)"27 ],28 "notes": "International Tax and Public Finance. Machine-learning clustering used only to build geographic groups; no characteristic coefficients reported."29 },30 "models": [],31 "coefficients": []32}