1{2 "record_id": "79ef2b5c97af212a2651b0df761a0e38797c7254",3 "eligible": false,4 "exclusion_reason": "Aggregate unit of analysis: the dependent variable is the suburb median house price (Kaggle dataset of 421 Sydney suburbs, 2020-2021; 300 suburbs retained) and all regressors are suburb-level ratings (median weekly rent, traffic, public transport, nature, noise, family/pet friendliness, safety) -- no dwelling-level prices or property characteristics. Table 2 (p.4) reports B, SE, Beta, t, p for X1-X9.",5 "study": {6 "title": "Investigation Upon Factors Contributing to Housing Price Variations-Specifically Sydney for Reference",7 "year": 2024,8 "doi": "10.62051/4r609702",9 "country": "Australia",10 "region_city": "Sydney urban suburbs",11 "sample_start": 2020,12 "sample_end": 2021,13 "property_type": "unknown",14 "price_type": "listing",15 "data_source": "Kaggle dataset (KARLTSE) of 421 Sydney suburbs, 30 features, 2020-2021",16 "document_type": "conference",17 "estimators": [18 "OLS"19 ],20 "spatial_method": "none",21 "time_fe": false,22 "location_fe": false,23 "se_type": "OLS",24 "n_obs_total": 300,25 "ai_methods": [],26 "notes": "High-school student conference paper; suburb-level median house price regression on suburb ratings; not a dwelling-level hedonic model."27 },28 "models": [],29 "coefficients": []30}