{
 "record_id": "61571b403ee0b92394b214f7249ffc6c6a95a4dc",
 "eligible": false,
 "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).",
 "study": {
  "title": "Improving housing valuation for taxation: the Norwegian case",
  "year": 2025,
  "doi": "10.1007/s10797-025-09928-2",
  "country": "Norway",
  "region_city": "Norway (national)",
  "sample_start": 2011,
  "sample_end": 2020,
  "property_type": "mixed",
  "price_type": "transaction",
  "data_source": "Norwegian housing transaction register 2011-2020 (single-family, semi-detached and apartments)",
  "document_type": "journal",
  "estimators": [
   "OLS"
  ],
  "spatial_method": "geographic calculation groups (k-means-type clustering of basic statistical units)",
  "time_fe": true,
  "location_fe": true,
  "se_type": "unknown",
  "n_obs_total": 0,
  "ai_methods": [
   "clustering (machine learning grouping of geographical units)"
  ],
  "notes": "International Tax and Public Finance. Machine-learning clustering used only to build geographic groups; no characteristic coefficients reported."
 },
 "models": [],
 "coefficients": []
}