1{2 "record_id": "2565afc9ee2e15c0daf31480b06229279a91d815",3 "eligible": false,4 "exclusion_reason": "Aggregate unit of analysis: the regression explains the MEDIAN house value of census blocks (California housing block dataset: housing median age, total rooms, total bedrooms, population, households, median income per block, longitude/latitude), not individual dwelling prices; no property-level characteristic coefficients. Student conference paper (ICFTBA 2024), sample period not stated.",5 "study": {6 "title": "Study of the Factors Influencing House Prices in California, USA",7 "year": 2025,8 "doi": "10.54254/2754-1169/2024.19450",9 "country": "United States",10 "region_city": "California (census blocks)",11 "sample_start": 0,12 "sample_end": 0,13 "property_type": "unknown",14 "price_type": "other",15 "data_source": "California housing block-group dataset (median house value per block; 100 blocks per descriptive table)",16 "document_type": "conference",17 "estimators": [18 "OLS"19 ],20 "spatial_method": "none (longitude/latitude as regressors)",21 "time_fe": false,22 "location_fe": false,23 "se_type": "OLS",24 "n_obs_total": 0,25 "ai_methods": [],26 "notes": "Table 5 (p. 150) reports B, SE, beta, t, p for X1 longitude, X2 latitude, X3 housing median age, X4 total rooms, X5 total bedrooms, X6 population, X7 households, X8 median income on block median house value (R2 0.603). Not extracted because the unit of observation is a census block aggregate."27 },28 "models": [],29 "coefficients": []30}