{
 "record_id": "154f55871a6811fb1dd94f5c020e97dabe79c8c3",
 "eligible": true,
 "exclusion_reason": null,
 "study": {
  "title": "Efficient property value estimation for single-family homes in central Florida",
  "year": 2024,
  "doi": "10.1111/itor.13565",
  "country": "United States",
  "region_city": "Florida, Orange and Seminole counties",
  "sample_start": null,
  "sample_end": null,
  "property_type": "single_family",
  "price_type": "appraisal",
  "data_source": "County property appraiser offices (Orange and Seminole, FL): Just Market Value (JMV) of 30,555 single-family properties after cleansing (32,922 before); data year not stated (same dataset as Klizentyte et al. 2024)",
  "document_type": "journal",
  "estimators": [
   "OLS",
   "other"
  ],
  "spatial_method": "none (county dummy)",
  "time_fe": false,
  "location_fe": true,
  "se_type": "robust",
  "n_obs_total": 30555,
  "ai_methods": [],
  "notes": "Dependent variable is the assessed Just Market Value (USD), not a transaction price. Table 6: log-log OLS with heteroskedasticity-consistent (HC2) SEs in parentheses and 95% CIs; Table 4: stochastic frontier (SFA) production-frontier equation (coefficient, SE); its inefficiency equation (County, Pool) is not a price equation and is not extracted. County dummy (Orange vs Seminole, -0.308) treated as location fixed effect and not extracted; County*Pool interaction extracted with x_transform other. AGE: Table 1 reports years (4-121) but Section 3.1 says AGE is expressed in decades for the DEA model; unit for the log(AGE) regressor is therefore ambiguous (elasticity unaffected). Star legend: *** 0.01, ** 0.05."
 },
 "models": [
  {
   "model_id": "T6-c1",
   "table": "6",
   "column": "1",
   "page": 18,
   "dep_var": "log(JMV, just market value USD)",
   "dep_transform": "log",
   "estimator": "OLS",
   "n_obs": 30555,
   "r2": 0.911,
   "se_or_t_in_parentheses": "se",
   "sample_subset": "Full cleaned sample; log-log model; HC2 robust SEs; adjusted R2 0.911"
  },
  {
   "model_id": "T4-c1",
   "table": "4",
   "column": "Production frontier",
   "page": 17,
   "dep_var": "log(JMV, just market value USD)",
   "dep_transform": "log",
   "estimator": "other",
   "n_obs": 30555,
   "r2": null,
   "se_or_t_in_parentheses": "se",
   "sample_subset": "Stochastic frontier analysis (SFA) production-frontier equation; Wald chi2(6)=253,536; log-likelihood 20,211"
  }
 ],
 "coefficients": [
  {
   "model_id": "T6-c1",
   "var_name_printed": "log(LIVAREA)",
   "taxonomy_id": "living_area",
   "x_transform": "log",
   "x_unit": "sqft",
   "beta": 0.803,
   "se": 0.004,
   "t": null,
   "p": null,
   "p_stars": "***",
   "ci_lo": 0.796,
   "ci_hi": 0.81,
   "page": 18,
   "confidence": "high",
   "notes": "air-conditioned living area in sq ft"
  },
  {
   "model_id": "T6-c1",
   "var_name_printed": "log(ACREAGE)",
   "taxonomy_id": "lot_size",
   "x_transform": "log",
   "x_unit": "acres",
   "beta": 0.078,
   "se": 0.001,
   "t": null,
   "p": null,
   "p_stars": "***",
   "ci_lo": 0.075,
   "ci_hi": 0.08,
   "page": 18,
   "confidence": "high",
   "notes": ""
  },
  {
   "model_id": "T6-c1",
   "var_name_printed": "log(MHHI)",
   "taxonomy_id": "income",
   "x_transform": "log",
   "x_unit": "currency",
   "beta": 0.222,
   "se": 0.004,
   "t": null,
   "p": null,
   "p_stars": "***",
   "ci_lo": 0.214,
   "ci_hi": 0.23,
   "page": 18,
   "confidence": "high",
   "notes": "median household income by zip code, USD"
  },
  {
   "model_id": "T6-c1",
   "var_name_printed": "log(NBEDS)",
   "taxonomy_id": "bedrooms",
   "x_transform": "log",
   "x_unit": "count",
   "beta": 0.042,
   "se": 0.003,
   "t": null,
   "p": null,
   "p_stars": "***",
   "ci_lo": 0.034,
   "ci_hi": 0.049,
   "page": 18,
   "confidence": "high",
   "notes": ""
  },
  {
   "model_id": "T6-c1",
   "var_name_printed": "log(NBATHS)",
   "taxonomy_id": "bathrooms",
   "x_transform": "log",
   "x_unit": "count",
   "beta": -0.06,
   "se": 0.004,
   "t": null,
   "p": null,
   "p_stars": "***",
   "ci_lo": -0.067,
   "ci_hi": -0.052,
   "page": 18,
   "confidence": "high",
   "notes": ""
  },
  {
   "model_id": "T6-c1",
   "var_name_printed": "log(AGE)",
   "taxonomy_id": "age",
   "x_transform": "log",
   "x_unit": "years",
   "beta": -0.173,
   "se": 0.002,
   "t": null,
   "p": null,
   "p_stars": "***",
   "ci_lo": -0.177,
   "ci_hi": -0.168,
   "page": 18,
   "confidence": "high",
   "notes": "see study note on years vs decades"
  },
  {
   "model_id": "T6-c1",
   "var_name_printed": "Pool",
   "taxonomy_id": "pool",
   "x_transform": "binary",
   "x_unit": "binary",
   "beta": 0.024,
   "se": 0.002,
   "t": null,
   "p": null,
   "p_stars": "***",
   "ci_lo": 0.02,
   "ci_hi": 0.028,
   "page": 18,
   "confidence": "high",
   "notes": ""
  },
  {
   "model_id": "T6-c1",
   "var_name_printed": "County*Pool",
   "taxonomy_id": "pool",
   "x_transform": "other",
   "x_unit": "binary",
   "beta": 0.035,
   "se": 0.003,
   "t": null,
   "p": null,
   "p_stars": "***",
   "ci_lo": 0.029,
   "ci_hi": 0.042,
   "page": 18,
   "confidence": "high",
   "notes": "interaction Orange County x pool"
  },
  {
   "model_id": "T4-c1",
   "var_name_printed": "log(LIVAREA)",
   "taxonomy_id": "living_area",
   "x_transform": "log",
   "x_unit": "sqft",
   "beta": 0.8086,
   "se": 0.0032,
   "t": null,
   "p": null,
   "p_stars": "***",
   "ci_lo": null,
   "ci_hi": null,
   "page": 17,
   "confidence": "high",
   "notes": ""
  },
  {
   "model_id": "T4-c1",
   "var_name_printed": "log(NBEDS)",
   "taxonomy_id": "bedrooms",
   "x_transform": "log",
   "x_unit": "count",
   "beta": 0.048,
   "se": 0.0032,
   "t": null,
   "p": null,
   "p_stars": "***",
   "ci_lo": null,
   "ci_hi": null,
   "page": 17,
   "confidence": "high",
   "notes": ""
  },
  {
   "model_id": "T4-c1",
   "var_name_printed": "log(NBATHS)",
   "taxonomy_id": "bathrooms",
   "x_transform": "log",
   "x_unit": "count",
   "beta": -0.0615,
   "se": 0.0038,
   "t": null,
   "p": null,
   "p_stars": "***",
   "ci_lo": null,
   "ci_hi": null,
   "page": 17,
   "confidence": "high",
   "notes": ""
  },
  {
   "model_id": "T4-c1",
   "var_name_printed": "log(MHHI)",
   "taxonomy_id": "income",
   "x_transform": "log",
   "x_unit": "currency",
   "beta": 0.2214,
   "se": 0.0037,
   "t": null,
   "p": null,
   "p_stars": "***",
   "ci_lo": null,
   "ci_hi": null,
   "page": 17,
   "confidence": "high",
   "notes": "median household income by zip code, USD"
  },
  {
   "model_id": "T4-c1",
   "var_name_printed": "log(ACREAGE)",
   "taxonomy_id": "lot_size",
   "x_transform": "log",
   "x_unit": "acres",
   "beta": 0.075,
   "se": 0.0013,
   "t": null,
   "p": null,
   "p_stars": "***",
   "ci_lo": null,
   "ci_hi": null,
   "page": 17,
   "confidence": "high",
   "notes": ""
  },
  {
   "model_id": "T4-c1",
   "var_name_printed": "log(AGE)",
   "taxonomy_id": "age",
   "x_transform": "log",
   "x_unit": "years",
   "beta": -0.196,
   "se": 0.0024,
   "t": null,
   "p": null,
   "p_stars": "***",
   "ci_lo": null,
   "ci_hi": null,
   "page": 17,
   "confidence": "medium",
   "notes": "Table cell is typeset as '-8***' (typo); value -0.196 taken from the text on p. 19 ('a 1% increase in the age of the property reduces the JMV by 0.196%'); SE as printed in table"
  }
 ]
}