1{2 "record_id": "757bd683e867096bd3de6214d8e05c02d711dbcc",3 "eligible": false,4 "exclusion_reason": "Aggregate unit of analysis: regressions use Seoul dong (sub-district) level average transaction prices by housing type (multi-unit, single-unit, apartment) as the dependent variable, with facility counts per 10,000 population and park-area share at the dong level as the only regressors (Tables 6-8, pp.9-11). No dwelling-level observations and no structural characteristics; no standard errors or t-statistics printed (stars only). Not a property-level hedonic regression.",5 "study": {6 "title": "Effects of Educational and Cultural Facilities on Housing Prices in Seoul from an Accessibility Perspective",7 "year": 2021,8 "doi": "10.11628/ksppe.2021.24.5.529",9 "country": "South Korea",10 "region_city": "Seoul",11 "sample_start": null,12 "sample_end": null,13 "property_type": "mixed",14 "price_type": "transaction",15 "data_source": "Seoul dong-level real estate transaction price averages; facility counts per 10,000 population",16 "document_type": "journal",17 "estimators": [18 "OLS",19 "spatial_lag",20 "spatial_error"21 ],22 "spatial_method": "SLM and SEM at dong level",23 "time_fe": false,24 "location_fe": false,25 "se_type": "unknown",26 "n_obs_total": null,27 "ai_methods": [],28 "notes": "Dependent variable in level Korean won (dong mean). Coefficients printed in scientific notation without SEs; only stars (* p<.05, ** p<.01, *** p<.001). Regressors: public library, private educational facility, art museum, museum, historical site, number of urban parks (all per 10,000 population) and urban park area share."29 },30 "models": [],31 "coefficients": []32}