1{2 "record_id": "71977f92d0454f114374d8e7935fc5debd79713d",3 "eligible": false,4 "exclusion_reason": "Aggregate unit of analysis: regression of median house value of California census block groups (1990 California Housing dataset, n=20,433 blocks) on block-level medians/totals (longitude, latitude, housing median age, total rooms, total bedrooms, population, households, median income). No individual dwelling prices or characteristic coefficients.",5 "study": {6 "title": "Predicting Housing Price Using Regression Analysis: A Study Based on California Housing Price",7 "year": 2025,8 "doi": "10.54254/2753-8818/2025.23005",9 "country": "United States",10 "region_city": "California",11 "sample_start": 1990,12 "sample_end": 1990,13 "property_type": "unknown",14 "price_type": "other (block-group median house value)",15 "data_source": "California House Price dataset (1990 census block groups, Kaggle)",16 "document_type": "conference",17 "estimators": [18 "OLS"19 ],20 "spatial_method": "none",21 "time_fe": false,22 "location_fe": false,23 "se_type": "unknown",24 "n_obs_total": 20433,25 "ai_methods": [],26 "notes": "Student conference paper. Table 2 p.5 reports OLS on x1-x8 (R2 0.637) at block-group level; not extracted."27 },28 "models": [],29 "coefficients": []30}