1{2 "record_id": "bcc88aa6a74894b8030f7071e7fd929a9fa08668",3 "eligible": false,4 "exclusion_reason": "Aggregate unit of analysis: the regressions (Tables 5-6, pp.13-14) use 168 apartment complexes (129 urban + 39 rural; the rural complexes aggregate 832 sales) with the log of the complex-level average price per m2 as dependent variable; regressors are factor scores of network distances to amenities, ln(complex age), ln(max floor), dummy for total units, bus-stop and CBD distance, urban and Geum River dummies. Complex (project) means rather than dwelling-level transactions; Living SOC variables are factor-analysis scores, not interpretable distances. Only z/t-values printed (no SEs). Borderline: flag for human review if complex-level Korean apartment studies are to be admitted.",5 "study": {6 "title": "Urban versus rural disparities in amenity proximity and housing price: the case of integrated urban-rural city, Sejong, South Korea",7 "year": 2024,8 "doi": "10.1007/s10901-023-10098-y",9 "country": "South Korea",10 "region_city": "Sejong",11 "sample_start": null,12 "sample_end": null,13 "property_type": "condo_apartment",14 "price_type": "transaction",15 "data_source": "Apartment complex average transaction prices per m2 (168 complexes), network distances to Living SOC facilities",16 "document_type": "journal",17 "estimators": [18 "spatial_lag",19 "OLS"20 ],21 "spatial_method": "SLM (spatial lag) with spatial weight matrix",22 "time_fe": false,23 "location_fe": false,24 "se_type": "unknown",25 "n_obs_total": 168,26 "ai_methods": [],27 "notes": "Dependent variable = log of average housing price per m2 by apartment complex. Table 5 pooled SLM: Learning & Care factor -0.039** (z -2.504), Education & Leisure -0.057*** (z -3.304), Senior 0.057** (z 2.378), ln(Age) -0.157*** (z -4.774), Total units dummy -0.094**, ln(Max floor) 0.117***, Bus stop 0.323***, CBD -0.007, Urban dummy 0.383***, Geum River dummy 0.090*, rho 0.248**, R2 0.899; OLS column also printed. Not extracted because of the aggregate unit of analysis."28 },29 "models": [],30 "coefficients": []31}