{
 "record_id": "1956ccee53765fb417ccdc3f95db189441def931",
 "eligible": true,
 "exclusion_reason": null,
 "study": {
  "title": "Analyzing the Impact of Accessibility on Residential Property Price: A Case study of Hanoi's Central Districts",
  "year": 2025,
  "doi": "10.64711/dq21w997",
  "country": "Vietnam",
  "region_city": "Hanoi (12 central districts)",
  "sample_start": 2024,
  "sample_end": 2025,
  "property_type": "mixed",
  "price_type": "listing",
  "data_source": "Verified listings by professional brokers on batdongsan.com.vn, November 2024 - March 2025 (1,545 properties, houses and apartments); amenity locations from OpenStreetMap via QuickOSM",
  "document_type": "journal",
  "estimators": [
   "OLS",
   "GWR"
  ],
  "spatial_method": "GWR (ArcGIS, AIC bandwidth) in addition to global OLS",
  "time_fe": false,
  "location_fe": false,
  "se_type": "robust",
  "n_obs_total": 1545,
  "ai_methods": [],
  "notes": "VNU Journal of Interdisciplinary Sciences and Arts 1(2), 2025. Table 2 (p. 15, image-only page, read from rendered PDF) reports the global OLS hedonic model: dependent variable PRICE = advertised selling price per m2 in million VND (level, not logged); seven shortest Euclidean distances to amenities measured in metres (Table 1, p. 14). Only accessibility variables are included (no structural controls except that the dependent variable is per m2). Table 2 prints coefficient, SE, t and p ('robust probability' reported after Koenker test); adjusted R2 = 0.163853. GWR results (Table 3, local coefficient ranges) not extracted. Stars: *** 1%, ** 5%. Note p-value for SDSCH printed as 0.002** while t = 2.400 and SDPRK printed 0.000*** with t = 3.086: minor inconsistencies, recorded as printed."
 },
 "models": [
  {
   "model_id": "T2-OLS",
   "table": "2",
   "column": "OLS",
   "page": 15,
   "dep_var": "Advertised price per m2 (million VND/m2)",
   "dep_transform": "per_m2",
   "estimator": "OLS",
   "n_obs": 1545,
   "r2": 0.163853,
   "se_or_t_in_parentheses": "se",
   "sample_subset": "All 1,545 listings, 12 central districts; SE, t and p in separate columns; r2 is adjusted R2"
  }
 ],
 "coefficients": [
  {
   "model_id": "T2-OLS",
   "var_name_printed": "SDHOS: Shortest distance to the nearest hospital",
   "taxonomy_id": "hospital_distance",
   "x_transform": "level",
   "x_unit": "m",
   "beta": -0.031,
   "se": 0.01,
   "t": -3.258,
   "p": 0.001,
   "p_stars": "***",
   "ci_lo": null,
   "ci_hi": null,
   "page": 15,
   "confidence": "high",
   "notes": "Euclidean distance in metres; dependent variable is level price per m2 (million VND/m2), so beta = million VND/m2 per metre"
  },
  {
   "model_id": "T2-OLS",
   "var_name_printed": "SDPRK: Shortest distance to the nearest park or green space",
   "taxonomy_id": "green_space",
   "x_transform": "level",
   "x_unit": "m",
   "beta": 0.036,
   "se": 0.012,
   "t": 3.086,
   "p": 0.0,
   "p_stars": "***",
   "ci_lo": null,
   "ci_hi": null,
   "page": 15,
   "confidence": "high",
   "notes": "Euclidean distance in metres; dependent variable is level price per m2 (million VND/m2), so beta = million VND/m2 per metre"
  },
  {
   "model_id": "T2-OLS",
   "var_name_printed": "SDSCH: Shortest distance to the nearest school",
   "taxonomy_id": "school_distance",
   "x_transform": "level",
   "x_unit": "m",
   "beta": 0.036,
   "se": 0.015,
   "t": 2.4,
   "p": 0.002,
   "p_stars": "**",
   "ci_lo": null,
   "ci_hi": null,
   "page": 15,
   "confidence": "high",
   "notes": "Euclidean distance in metres; dependent variable is level price per m2 (million VND/m2), so beta = million VND/m2 per metre"
  },
  {
   "model_id": "T2-OLS",
   "var_name_printed": "SDUNI: Shortest distance to the nearest university",
   "taxonomy_id": "university_distance",
   "x_transform": "level",
   "x_unit": "m",
   "beta": -0.014,
   "se": 0.005,
   "t": -3.034,
   "p": 0.0,
   "p_stars": "***",
   "ci_lo": null,
   "ci_hi": null,
   "page": 15,
   "confidence": "high",
   "notes": "Euclidean distance in metres; dependent variable is level price per m2 (million VND/m2), so beta = million VND/m2 per metre"
  },
  {
   "model_id": "T2-OLS",
   "var_name_printed": "SDSHP: Shortest distance to the nearest shopping center",
   "taxonomy_id": "commercial_distance",
   "x_transform": "level",
   "x_unit": "m",
   "beta": 0.008,
   "se": 0.008,
   "t": 1.024,
   "p": 0.257,
   "p_stars": "",
   "ci_lo": null,
   "ci_hi": null,
   "page": 15,
   "confidence": "high",
   "notes": "Euclidean distance in metres; dependent variable is level price per m2 (million VND/m2), so beta = million VND/m2 per metre"
  },
  {
   "model_id": "T2-OLS",
   "var_name_printed": "SDCENL: Shortest distance to the nearest local People's committee location",
   "taxonomy_id": "public_services",
   "x_transform": "level",
   "x_unit": "m",
   "beta": -0.015,
   "se": 0.004,
   "t": -4.385,
   "p": 0.0,
   "p_stars": "***",
   "ci_lo": null,
   "ci_hi": null,
   "page": 15,
   "confidence": "high",
   "notes": "Euclidean distance in metres; dependent variable is level price per m2 (million VND/m2), so beta = million VND/m2 per metre; distance to district-level People's Committee (local government office)"
  },
  {
   "model_id": "T2-OLS",
   "var_name_printed": "SDCEN: Shortest distance to Hanoi People's committee location",
   "taxonomy_id": "cbd_distance",
   "x_transform": "level",
   "x_unit": "m",
   "beta": -0.02,
   "se": 0.002,
   "t": -10.977,
   "p": 0.0,
   "p_stars": "***",
   "ci_lo": null,
   "ci_hi": null,
   "page": 15,
   "confidence": "high",
   "notes": "Euclidean distance in metres; dependent variable is level price per m2 (million VND/m2), so beta = million VND/m2 per metre; Hanoi People's Committee HQ used as city centre"
  }
 ]
}