{
 "record_id": "21199d311319fd0034523954fb23eaaf34739428",
 "eligible": false,
 "exclusion_reason": "Regression tables (Tables 4 and 6, p. 14) regress price per m2 on three expert-weighted composite indicators (location Cl, position Cp, technical Ct) built by multi-attribute aggregation; no coefficient is attached to an identifiable property, neighbourhood, environmental or location characteristic, so nothing maps to the taxonomy.",
 "study": {
  "title": "Assessing the Impact of Urban Improvement on Housing Values: A Hedonic Pricing and Multi-Attribute Analysis Model for the Historic Centre of Venice",
  "year": 2017,
  "doi": "10.3390/buildings7040112",
  "country": "Italy",
  "region_city": "Venice (historic centre)",
  "sample_start": null,
  "sample_end": null,
  "property_type": "condo_apartment",
  "price_type": "transaction",
  "data_source": "197 apartment sales in the historic centre of Venice (real estate agents), split into touristic (85) and residents' (112) segments",
  "document_type": "journal",
  "estimators": [
   "OLS"
  ],
  "spatial_method": "none",
  "time_fe": false,
  "location_fe": false,
  "se_type": "robust",
  "n_obs_total": 197,
  "ai_methods": [],
  "notes": "Dependent variable: market price in EUR per m2 (level). OLS with HC1 robust SEs; R2 0.26 (touristic) and 0.40 (residents). Individual attributes (view, brightness, lift/floor, maintenance, finishes, flood height, noise, distance to access) enter only through the composite indicators; kept for qualitative synthesis (MOSE flood-protection valuation)."
 },
 "models": [],
 "coefficients": []
}