{
 "record_id": "323b30d53cb25830c8397eeb95e569a5dc5a3044",
 "eligible": false,
 "exclusion_reason": "Aggregate unit of analysis: observations are OMI-zone rental quotation ranges (min-max EUR/m2 per zone x dwelling type x conservation status; 54,214 cells, 8,046 municipalities), not individual dwellings; purpose is a Country-Product-Dummy spatial rent index. Only coefficients are region dummies, dwelling type (economic apartment, detached vs well-finished apartment), conservation status (excellent vs normal) and district class (semi-central, outskirts, suburban, rural vs central) with SEs (Tables 3A-3B, pp.13-16; log rent per m2 midpoint/min/max; N=54,214 and 16,040). Flag for human review: if zone-level quotation cells are accepted, type/condition/district coefficients could be extracted.",
 "study": {
  "title": "Sub-National Spatial Price Indexes for Housing: Methodological Issues and Computation for Italy",
  "year": 2022,
  "doi": "10.2478/jos-2022-0004",
  "country": "Italy",
  "region_city": "Italy, 20 regions (all municipalities)",
  "sample_start": 2017,
  "sample_end": 2017,
  "property_type": "mixed",
  "price_type": "rent",
  "data_source": "OMI (Real Estate Market Observatory, Agenzia delle Entrate) rental quotations, first semester 2017",
  "document_type": "journal",
  "estimators": [
   "OLS",
   "other"
  ],
  "spatial_method": "none (district and homogeneous-zone dummies)",
  "time_fe": false,
  "location_fe": true,
  "se_type": "OLS",
  "n_obs_total": 54214,
  "ai_methods": [],
  "notes": "Model [2] = OLS on log midpoint of interval rent; model [3] = SUR on log min and log max (symbolic data analysis). Dependent variable in EUR per m2 per month (log). All coefficients significant at p<0.01 per table note."
 },
 "models": [],
 "coefficients": []
}