{
 "record_id": "549587ac03dcb9d550c7fe68da027277dd876b12",
 "eligible": true,
 "exclusion_reason": null,
 "study": {
  "title": "A divide-and-conquer approach for spatio-temporal analysis of large house price data from Greater London",
  "year": 2024,
  "doi": "10.1007/s10479-025-06889-x",
  "country": "United Kingdom",
  "region_city": "Greater London (983 MSOAs)",
  "sample_start": 2011,
  "sample_end": 2019,
  "property_type": "mixed",
  "price_type": "transaction",
  "data_source": "England house price transactions (Land Registry-type records) merged with EPC attributes; 651,202 transactions, 106 monthly periods Jan 2011-Oct 2019",
  "document_type": "journal",
  "estimators": [
   "other"
  ],
  "spatial_method": "Bayesian spatio-temporal Gaussian process (separable Matern/exponential space-time error process), divide-and-conquer with Wasserstein barycenter combination (D&C-STBD)",
  "time_fe": false,
  "location_fe": false,
  "se_type": "unknown",
  "n_obs_total": 651202,
  "ai_methods": [],
  "notes": "arXiv 2407.15905 / Annals of Operations Research. Dependent variable = log(house price per square metre); covariates include linear and quadratic time trends and trend x CO2 interaction (not extracted). Only the proposed D&C-STBD model has a coefficient table (Table 2, p.17, posterior means with 95% credible intervals). Benchmark models (simple hedonic OLS, spatial hedonic with region FE, temporal, SBD, D&C-SBD) are reported only through fit statistics in Table 3 (p.19): R2 0.166 / 0.605 / 0.173 / 0.744 / 0.739 / 0.796; their coefficients are not printed. Newly built properties (<1%) excluded."
 },
 "models": [
  {
   "model_id": "T2-c1",
   "table": "2",
   "column": "Estimate",
   "page": 17,
   "dep_var": "log(house price per square meter)",
   "dep_transform": "per_m2",
   "estimator": "other",
   "n_obs": 651202,
   "r2": 0.796,
   "se_or_t_in_parentheses": "none",
   "sample_subset": "full data, 983 MSOAs x 106 months",
   "notes": "Bayesian spatio-temporal Gaussian process model (D&C-STBD), Gibbs sampling, 20 subsets combined by Wasserstein barycenter. Table reports posterior mean and 95% credible interval (no SE/t). Dependent variable is log-transformed price per m2. R2 = 0.796 from Table 3 p.19 (in-sample fit)."
  }
 ],
 "coefficients": [
  {
   "model_id": "T2-c1",
   "var_name_printed": "log (1 + Area)",
   "taxonomy_id": "living_area",
   "x_transform": "log",
   "x_unit": "m2",
   "beta": -0.319,
   "se": null,
   "t": null,
   "p": null,
   "p_stars": "",
   "ci_lo": -0.321,
   "ci_hi": -0.316,
   "page": 17,
   "confidence": "high",
   "notes": "Bayesian posterior mean; 95% credible interval. total floor area in m2, entered as log(1+Area); dependent is log price per m2"
  },
  {
   "model_id": "T2-c1",
   "var_name_printed": "Rooms (3 Rooms)",
   "taxonomy_id": "bedrooms",
   "x_transform": "dummy",
   "x_unit": "count",
   "beta": 0.066,
   "se": null,
   "t": null,
   "p": null,
   "p_stars": "",
   "ci_lo": 0.065,
   "ci_hi": 0.068,
   "page": 17,
   "confidence": "high",
   "notes": "Bayesian posterior mean; 95% credible interval. number of rooms category; reference = <=2 rooms (cat1)"
  },
  {
   "model_id": "T2-c1",
   "var_name_printed": "Rooms (4 Rooms)",
   "taxonomy_id": "bedrooms",
   "x_transform": "dummy",
   "x_unit": "count",
   "beta": 0.059,
   "se": null,
   "t": null,
   "p": null,
   "p_stars": "",
   "ci_lo": 0.057,
   "ci_hi": 0.062,
   "page": 17,
   "confidence": "high",
   "notes": "Bayesian posterior mean; 95% credible interval. number of rooms category; reference = <=2 rooms (cat1)"
  },
  {
   "model_id": "T2-c1",
   "var_name_printed": "Rooms (5 Rooms)",
   "taxonomy_id": "bedrooms",
   "x_transform": "dummy",
   "x_unit": "count",
   "beta": 0.064,
   "se": null,
   "t": null,
   "p": null,
   "p_stars": "",
   "ci_lo": 0.061,
   "ci_hi": 0.067,
   "page": 17,
   "confidence": "high",
   "notes": "Bayesian posterior mean; 95% credible interval. number of rooms category; reference = <=2 rooms (cat1)"
  },
  {
   "model_id": "T2-c1",
   "var_name_printed": "Rooms (> 5 Rooms)",
   "taxonomy_id": "bedrooms",
   "x_transform": "dummy",
   "x_unit": "count",
   "beta": 0.109,
   "se": null,
   "t": null,
   "p": null,
   "p_stars": "",
   "ci_lo": 0.106,
   "ci_hi": 0.113,
   "page": 17,
   "confidence": "high",
   "notes": "Bayesian posterior mean; 95% credible interval. number of rooms category; reference = <=2 rooms (cat1)"
  },
  {
   "model_id": "T2-c1",
   "var_name_printed": "Property type (Terraced)",
   "taxonomy_id": "dwelling_type",
   "x_transform": "dummy",
   "x_unit": "binary",
   "beta": -0.052,
   "se": null,
   "t": null,
   "p": null,
   "p_stars": "",
   "ci_lo": -0.054,
   "ci_hi": -0.05,
   "page": 17,
   "confidence": "high",
   "notes": "Bayesian posterior mean; 95% credible interval. reference = Semi-detached"
  },
  {
   "model_id": "T2-c1",
   "var_name_printed": "Property type (Detached)",
   "taxonomy_id": "dwelling_type",
   "x_transform": "dummy",
   "x_unit": "binary",
   "beta": 0.141,
   "se": null,
   "t": null,
   "p": null,
   "p_stars": "",
   "ci_lo": 0.138,
   "ci_hi": 0.144,
   "page": 17,
   "confidence": "high",
   "notes": "Bayesian posterior mean; 95% credible interval. reference = Semi-detached"
  },
  {
   "model_id": "T2-c1",
   "var_name_printed": "Property type (Flats)",
   "taxonomy_id": "dwelling_type",
   "x_transform": "dummy",
   "x_unit": "binary",
   "beta": -0.25,
   "se": null,
   "t": null,
   "p": null,
   "p_stars": "",
   "ci_lo": -0.252,
   "ci_hi": -0.247,
   "page": 17,
   "confidence": "high",
   "notes": "Bayesian posterior mean; 95% credible interval. reference = Semi-detached"
  },
  {
   "model_id": "T2-c1",
   "var_name_printed": "Fireplace",
   "taxonomy_id": "fireplace",
   "x_transform": "binary",
   "x_unit": "binary",
   "beta": 0.064,
   "se": null,
   "t": null,
   "p": null,
   "p_stars": "",
   "ci_lo": 0.062,
   "ci_hi": 0.065,
   "page": 17,
   "confidence": "high",
   "notes": "Bayesian posterior mean; 95% credible interval."
  },
  {
   "model_id": "T2-c1",
   "var_name_printed": "Ventilation (Extract-only)",
   "taxonomy_id": null,
   "x_transform": "dummy",
   "x_unit": "binary",
   "beta": 0.029,
   "se": null,
   "t": null,
   "p": null,
   "p_stars": "",
   "ci_lo": 0.022,
   "ci_hi": 0.036,
   "page": 17,
   "confidence": "high",
   "notes": "Bayesian posterior mean; 95% credible interval. mechanical ventilation type, reference = Natural ventilation; no taxonomy leaf (unmapped)"
  },
  {
   "model_id": "T2-c1",
   "var_name_printed": "Ventilation (Both supply and extract)",
   "taxonomy_id": null,
   "x_transform": "dummy",
   "x_unit": "binary",
   "beta": 0.055,
   "se": null,
   "t": null,
   "p": null,
   "p_stars": "",
   "ci_lo": 0.043,
   "ci_hi": 0.065,
   "page": 17,
   "confidence": "high",
   "notes": "Bayesian posterior mean; 95% credible interval. mechanical ventilation type, reference = Natural ventilation; no taxonomy leaf (unmapped)"
  },
  {
   "model_id": "T2-c1",
   "var_name_printed": "Wind turbine",
   "taxonomy_id": "energy_efficiency",
   "x_transform": "binary",
   "x_unit": "binary",
   "beta": 0.006,
   "se": null,
   "t": null,
   "p": null,
   "p_stars": "",
   "ci_lo": -0.019,
   "ci_hi": 0.031,
   "page": 17,
   "confidence": "high",
   "notes": "Bayesian posterior mean; 95% credible interval. EPC indicator: 1 if the property has a wind turbine (on-site renewable), not a nearby wind farm; mapped to energy_efficiency"
  },
  {
   "model_id": "T2-c1",
   "var_name_printed": "log (1 + CO2 emission)",
   "taxonomy_id": "energy_efficiency",
   "x_transform": "log",
   "x_unit": "kg/m2/year",
   "beta": -0.031,
   "se": null,
   "t": null,
   "p": null,
   "p_stars": "",
   "ci_lo": -0.035,
   "ci_hi": -0.028,
   "page": 17,
   "confidence": "high",
   "notes": "Bayesian posterior mean; 95% credible interval. CO2 emissions per year (kg/m2) from EPC, entered as log(1+x); main effect only (interaction with linear time trend = 0.076 (0.070, 0.081) not extracted)"
  }
 ]
}