1{2 "record_id": "154f55871a6811fb1dd94f5c020e97dabe79c8c3",3 "eligible": true,4 "exclusion_reason": null,5 "study": {6 "title": "Efficient property value estimation for single-family homes in central Florida",7 "year": 2024,8 "doi": "10.1111/itor.13565",9 "country": "United States",10 "region_city": "Florida, Orange and Seminole counties",11 "sample_start": null,12 "sample_end": null,13 "property_type": "single_family",14 "price_type": "appraisal",15 "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)",16 "document_type": "journal",17 "estimators": [18 "OLS",19 "other"20 ],21 "spatial_method": "none (county dummy)",22 "time_fe": false,23 "location_fe": true,24 "se_type": "robust",25 "n_obs_total": 30555,26 "ai_methods": [],27 "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."28 },29 "models": [30 {31 "model_id": "T6-c1",32 "table": "6",33 "column": "1",34 "page": 18,35 "dep_var": "log(JMV, just market value USD)",36 "dep_transform": "log",37 "estimator": "OLS",38 "n_obs": 30555,39 "r2": 0.911,40 "se_or_t_in_parentheses": "se",41 "sample_subset": "Full cleaned sample; log-log model; HC2 robust SEs; adjusted R2 0.911"42 },43 {44 "model_id": "T4-c1",45 "table": "4",46 "column": "Production frontier",47 "page": 17,48 "dep_var": "log(JMV, just market value USD)",49 "dep_transform": "log",50 "estimator": "other",51 "n_obs": 30555,52 "r2": null,53 "se_or_t_in_parentheses": "se",54 "sample_subset": "Stochastic frontier analysis (SFA) production-frontier equation; Wald chi2(6)=253,536; log-likelihood 20,211"55 }56 ],57 "coefficients": [58 {59 "model_id": "T6-c1",60 "var_name_printed": "log(LIVAREA)",61 "taxonomy_id": "living_area",62 "x_transform": "log",63 "x_unit": "sqft",64 "beta": 0.803,65 "se": 0.004,66 "t": null,67 "p": null,68 "p_stars": "***",69 "ci_lo": 0.796,70 "ci_hi": 0.81,71 "page": 18,72 "confidence": "high",73 "notes": "air-conditioned living area in sq ft"74 },75 {76 "model_id": "T6-c1",77 "var_name_printed": "log(ACREAGE)",78 "taxonomy_id": "lot_size",79 "x_transform": "log",80 "x_unit": "acres",81 "beta": 0.078,82 "se": 0.001,83 "t": null,84 "p": null,85 "p_stars": "***",86 "ci_lo": 0.075,87 "ci_hi": 0.08,88 "page": 18,89 "confidence": "high",90 "notes": ""91 },92 {93 "model_id": "T6-c1",94 "var_name_printed": "log(MHHI)",95 "taxonomy_id": "income",96 "x_transform": "log",97 "x_unit": "currency",98 "beta": 0.222,99 "se": 0.004,100 "t": null,101 "p": null,102 "p_stars": "***",103 "ci_lo": 0.214,104 "ci_hi": 0.23,105 "page": 18,106 "confidence": "high",107 "notes": "median household income by zip code, USD"108 },109 {110 "model_id": "T6-c1",111 "var_name_printed": "log(NBEDS)",112 "taxonomy_id": "bedrooms",113 "x_transform": "log",114 "x_unit": "count",115 "beta": 0.042,116 "se": 0.003,117 "t": null,118 "p": null,119 "p_stars": "***",120 "ci_lo": 0.034,121 "ci_hi": 0.049,122 "page": 18,123 "confidence": "high",124 "notes": ""125 },126 {127 "model_id": "T6-c1",128 "var_name_printed": "log(NBATHS)",129 "taxonomy_id": "bathrooms",130 "x_transform": "log",131 "x_unit": "count",132 "beta": -0.06,133 "se": 0.004,134 "t": null,135 "p": null,136 "p_stars": "***",137 "ci_lo": -0.067,138 "ci_hi": -0.052,139 "page": 18,140 "confidence": "high",141 "notes": ""142 },143 {144 "model_id": "T6-c1",145 "var_name_printed": "log(AGE)",146 "taxonomy_id": "age",147 "x_transform": "log",148 "x_unit": "years",149 "beta": -0.173,150 "se": 0.002,151 "t": null,152 "p": null,153 "p_stars": "***",154 "ci_lo": -0.177,155 "ci_hi": -0.168,156 "page": 18,157 "confidence": "high",158 "notes": "see study note on years vs decades"159 },160 {161 "model_id": "T6-c1",162 "var_name_printed": "Pool",163 "taxonomy_id": "pool",164 "x_transform": "binary",165 "x_unit": "binary",166 "beta": 0.024,167 "se": 0.002,168 "t": null,169 "p": null,170 "p_stars": "***",171 "ci_lo": 0.02,172 "ci_hi": 0.028,173 "page": 18,174 "confidence": "high",175 "notes": ""176 },177 {178 "model_id": "T6-c1",179 "var_name_printed": "County*Pool",180 "taxonomy_id": "pool",181 "x_transform": "other",182 "x_unit": "binary",183 "beta": 0.035,184 "se": 0.003,185 "t": null,186 "p": null,187 "p_stars": "***",188 "ci_lo": 0.029,189 "ci_hi": 0.042,190 "page": 18,191 "confidence": "high",192 "notes": "interaction Orange County x pool"193 },194 {195 "model_id": "T4-c1",196 "var_name_printed": "log(LIVAREA)",197 "taxonomy_id": "living_area",198 "x_transform": "log",199 "x_unit": "sqft",200 "beta": 0.8086,201 "se": 0.0032,202 "t": null,203 "p": null,204 "p_stars": "***",205 "ci_lo": null,206 "ci_hi": null,207 "page": 17,208 "confidence": "high",209 "notes": ""210 },211 {212 "model_id": "T4-c1",213 "var_name_printed": "log(NBEDS)",214 "taxonomy_id": "bedrooms",215 "x_transform": "log",216 "x_unit": "count",217 "beta": 0.048,218 "se": 0.0032,219 "t": null,220 "p": null,221 "p_stars": "***",222 "ci_lo": null,223 "ci_hi": null,224 "page": 17,225 "confidence": "high",226 "notes": ""227 },228 {229 "model_id": "T4-c1",230 "var_name_printed": "log(NBATHS)",231 "taxonomy_id": "bathrooms",232 "x_transform": "log",233 "x_unit": "count",234 "beta": -0.0615,235 "se": 0.0038,236 "t": null,237 "p": null,238 "p_stars": "***",239 "ci_lo": null,240 "ci_hi": null,241 "page": 17,242 "confidence": "high",243 "notes": ""244 },245 {246 "model_id": "T4-c1",247 "var_name_printed": "log(MHHI)",248 "taxonomy_id": "income",249 "x_transform": "log",250 "x_unit": "currency",251 "beta": 0.2214,252 "se": 0.0037,253 "t": null,254 "p": null,255 "p_stars": "***",256 "ci_lo": null,257 "ci_hi": null,258 "page": 17,259 "confidence": "high",260 "notes": "median household income by zip code, USD"261 },262 {263 "model_id": "T4-c1",264 "var_name_printed": "log(ACREAGE)",265 "taxonomy_id": "lot_size",266 "x_transform": "log",267 "x_unit": "acres",268 "beta": 0.075,269 "se": 0.0013,270 "t": null,271 "p": null,272 "p_stars": "***",273 "ci_lo": null,274 "ci_hi": null,275 "page": 17,276 "confidence": "high",277 "notes": ""278 },279 {280 "model_id": "T4-c1",281 "var_name_printed": "log(AGE)",282 "taxonomy_id": "age",283 "x_transform": "log",284 "x_unit": "years",285 "beta": -0.196,286 "se": 0.0024,287 "t": null,288 "p": null,289 "p_stars": "***",290 "ci_lo": null,291 "ci_hi": null,292 "page": 17,293 "confidence": "medium",294 "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"295 }296 ]297}