{
 "record_id": "c98a43acf9eb55645cbcf1d65650ddce2b8ab2c6",
 "eligible": false,
 "exclusion_reason": "Aggregate unit of analysis: dependent variable is the zip-code-level Zillow median housing price per square foot (monthly panel 2010-2016), not individual dwelling prices; the only regressors of interest are an Uber-entry indicator and zip-code-level census interactions (college share, poverty, public transport use, commute time, vehicles per capita, traffic delay, air quality above median). No dwelling-characteristic implicit prices are estimated.",
 "study": {
  "title": "The social value of a ridesharing platform: a hedonic pricing approach",
  "year": 2022,
  "doi": "10.1007/s00181-022-02310-9",
  "country": "United States",
  "region_city": "US metropolitan areas (zip codes), Uber entry 2010-2016",
  "sample_start": 2010,
  "sample_end": 2016,
  "property_type": "mixed",
  "price_type": "other",
  "data_source": "Zillow zip-code median housing price per square foot, Census Bureau, QCEW, 2010-2016",
  "document_type": "journal",
  "estimators": [
   "FE_panel"
  ],
  "spatial_method": "none (zip code / metro fixed effects)",
  "time_fe": true,
  "location_fe": true,
  "se_type": "clustered",
  "n_obs_total": 398209,
  "ai_methods": [],
  "notes": "Empirical Economics 63, 2125-2149 (2022). Preferred estimate: Uber entry +0.028 (SE 0.010, clustered by metro) on ln(median price/sq ft) with zip code + year/quarter FE (Table 2 col 3, p. 12). Table 4 heterogeneity interactions. Kept only qualitatively (ridesharing amenity capitalization at area level)."
 },
 "models": [],
 "coefficients": []
}