1{2 "record_id": "c98a43acf9eb55645cbcf1d65650ddce2b8ab2c6",3 "eligible": false,4 "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.",5 "study": {6 "title": "The social value of a ridesharing platform: a hedonic pricing approach",7 "year": 2022,8 "doi": "10.1007/s00181-022-02310-9",9 "country": "United States",10 "region_city": "US metropolitan areas (zip codes), Uber entry 2010-2016",11 "sample_start": 2010,12 "sample_end": 2016,13 "property_type": "mixed",14 "price_type": "other",15 "data_source": "Zillow zip-code median housing price per square foot, Census Bureau, QCEW, 2010-2016",16 "document_type": "journal",17 "estimators": [18 "FE_panel"19 ],20 "spatial_method": "none (zip code / metro fixed effects)",21 "time_fe": true,22 "location_fe": true,23 "se_type": "clustered",24 "n_obs_total": 398209,25 "ai_methods": [],26 "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)."27 },28 "models": [],29 "coefficients": []30}