1{2 "record_id": "bd42cea5779904b39c488f5e59235573696a2827",3 "eligible": true,4 "exclusion_reason": null,5 "study": {6 "title": "The impact of urban renewal on neighboring housing prices: an application of hierarchical linear modeling",7 "year": 2022,8 "doi": "10.3846/ijspm.2022.15971",9 "country": "Taiwan",10 "region_city": "Taipei City",11 "sample_start": 2008,12 "sample_end": 2016,13 "property_type": "mixed",14 "price_type": "transaction",15 "data_source": "Taiwan Real Estate Transaction Bulletin (Gigahouse; 2008-2009, 2011) and MOI actual price registration (2012-Oct 2016); 19,157 transactions within 800 m of 23 urban renewal projects",16 "document_type": "journal",17 "estimators": [18 "other"19 ],20 "spatial_method": "none (two-level hierarchical linear model, houses nested in urban renewal projects)",21 "time_fe": false,22 "location_fe": false,23 "se_type": "unknown",24 "n_obs_total": 19157,25 "ai_methods": [],26 "notes": "Estimator = HLM (random-intercept hierarchical linear model, Level 1 = houses, Level 2 = 23 urban renewal projects). Dependent variable = natural log of transaction price (price in NT$10,000 in descriptives). Table 4 (p.10) prints coefficients, 'standardized errors' (standard errors) and t-ratios in columns; *** p<0.01, ** p<0.05, * p<0.1. Coefficients and SEs are rounded to 3 decimals, so several distance coefficients print as 0.001/-0.001 with SE 0.001 although t-ratios are large; these are flagged medium confidence. Level-2 variable FLAREA (grand floor area of the urban renewal project, m2) mapped to 'other'. Mixed housing types (high-rise residential buildings, low-rise 'huaxia' buildings, apartment buildings). 1 ping = 3.306 m2."27 },28 "models": [29 {30 "model_id": "T4-c1",31 "table": "4",32 "column": "1",33 "page": 10,34 "dep_var": "ln housing transaction price",35 "dep_transform": "log",36 "estimator": "other",37 "n_obs": 19157,38 "r2": null,39 "se_or_t_in_parentheses": "none",40 "sample_subset": "Full sample within 800 m of urban renewal projects; HLM random intercept; SE and t-ratio in separate columns"41 }42 ],43 "coefficients": [44 {45 "model_id": "T4-c1",46 "var_name_printed": "FLAREA",47 "taxonomy_id": "other",48 "x_transform": "level",49 "x_unit": "m2 (grand floor area of urban renewal project, Level 2)",50 "beta": 0.001,51 "se": 0.001,52 "t": 8.803,53 "p": null,54 "p_stars": "***",55 "ci_lo": null,56 "ci_hi": null,57 "page": 10,58 "confidence": "medium",59 "notes": "Level-2 urban renewal project scale; coefficient rounded to 3 decimals"60 },61 {62 "model_id": "T4-c1",63 "var_name_printed": "AREA",64 "taxonomy_id": "living_area",65 "x_transform": "level",66 "x_unit": "ping (1 ping = 3.306 m2)",67 "beta": 0.001,68 "se": 0.001,69 "t": 6.831,70 "p": null,71 "p_stars": "***",72 "ci_lo": null,73 "ci_hi": null,74 "page": 10,75 "confidence": "medium",76 "notes": "registered house area; coefficient rounded to 3 decimals"77 },78 {79 "model_id": "T4-c1",80 "var_name_printed": "AGE",81 "taxonomy_id": "age",82 "x_transform": "level",83 "x_unit": "years",84 "beta": -0.012,85 "se": 0.001,86 "t": -18.253,87 "p": null,88 "p_stars": "***",89 "ci_lo": null,90 "ci_hi": null,91 "page": 10,92 "confidence": "high",93 "notes": "house age; squared term AGES also included"94 },95 {96 "model_id": "T4-c1",97 "var_name_printed": "AGES",98 "taxonomy_id": "age",99 "x_transform": "squared",100 "x_unit": "years squared",101 "beta": 0.0002,102 "se": 0.001,103 "t": 18.743,104 "p": null,105 "p_stars": "***",106 "ci_lo": null,107 "ci_hi": null,108 "page": 10,109 "confidence": "medium",110 "notes": "square of house age; text says 0.001, table prints 0.0002"111 },112 {113 "model_id": "T4-c1",114 "var_name_printed": "ROOM",115 "taxonomy_id": "bedrooms",116 "x_transform": "level",117 "x_unit": "count",118 "beta": -0.016,119 "se": 0.003,120 "t": -5.233,121 "p": null,122 "p_stars": "***",123 "ci_lo": null,124 "ci_hi": null,125 "page": 10,126 "confidence": "high",127 "notes": "number of rooms (bedrooms)"128 },129 {130 "model_id": "T4-c1",131 "var_name_printed": "LIVROOM",132 "taxonomy_id": "other",133 "x_transform": "level",134 "x_unit": "count",135 "beta": 0.024,136 "se": 0.005,137 "t": 4.312,138 "p": null,139 "p_stars": "***",140 "ci_lo": null,141 "ci_hi": null,142 "page": 10,143 "confidence": "high",144 "notes": "number of living rooms"145 },146 {147 "model_id": "T4-c1",148 "var_name_printed": "BATH",149 "taxonomy_id": "bathrooms",150 "x_transform": "level",151 "x_unit": "count",152 "beta": 0.049,153 "se": 0.005,154 "t": 10.971,155 "p": null,156 "p_stars": "***",157 "ci_lo": null,158 "ci_hi": null,159 "page": 10,160 "confidence": "high",161 "notes": ""162 },163 {164 "model_id": "T4-c1",165 "var_name_printed": "FLOOR1",166 "taxonomy_id": "floor_level",167 "x_transform": "dummy",168 "x_unit": "binary",169 "beta": 0.167,170 "se": 0.008,171 "t": 20.975,172 "p": null,173 "p_stars": "***",174 "ci_lo": null,175 "ci_hi": null,176 "page": 10,177 "confidence": "high",178 "notes": "dummy = 1 if house is on the first (ground) floor"179 },180 {181 "model_id": "T4-c1",182 "var_name_printed": "BUILDING",183 "taxonomy_id": "dwelling_type",184 "x_transform": "dummy",185 "x_unit": "binary",186 "beta": 0.197,187 "se": 0.007,188 "t": 29.409,189 "p": null,190 "p_stars": "***",191 "ci_lo": null,192 "ci_hi": null,193 "page": 10,194 "confidence": "high",195 "notes": "high-rise residential building vs apartment building (reference)"196 },197 {198 "model_id": "T4-c1",199 "var_name_printed": "HUAXIA",200 "taxonomy_id": "dwelling_type",201 "x_transform": "dummy",202 "x_unit": "binary",203 "beta": 0.174,204 "se": 0.006,205 "t": 28.168,206 "p": null,207 "p_stars": "***",208 "ci_lo": null,209 "ci_hi": null,210 "page": 10,211 "confidence": "high",212 "notes": "low-rise residential building (huaxia) vs apartment building (reference)"213 },214 {215 "model_id": "T4-c1",216 "var_name_printed": "PARKING",217 "taxonomy_id": "parking",218 "x_transform": "binary",219 "x_unit": "binary",220 "beta": -0.065,221 "se": 0.006,222 "t": -10.403,223 "p": null,224 "p_stars": "***",225 "ci_lo": null,226 "ci_hi": null,227 "page": 10,228 "confidence": "high",229 "notes": "availability of parking lot(s)"230 },231 {232 "model_id": "T4-c1",233 "var_name_printed": "DISURBA",234 "taxonomy_id": "cbd_distance",235 "x_transform": "level",236 "x_unit": "m",237 "beta": -0.001,238 "se": 0.001,239 "t": -6.099,240 "p": null,241 "p_stars": "***",242 "ci_lo": null,243 "ci_hi": null,244 "page": 10,245 "confidence": "medium",246 "notes": "distance to city centre (DISTURBA in Table 2); coefficient rounded to 3 decimals"247 },248 {249 "model_id": "T4-c1",250 "var_name_printed": "PRIM",251 "taxonomy_id": "school_distance",252 "x_transform": "level",253 "x_unit": "m",254 "beta": 0.001,255 "se": 0.001,256 "t": 10.814,257 "p": null,258 "p_stars": "***",259 "ci_lo": null,260 "ci_hi": null,261 "page": 10,262 "confidence": "medium",263 "notes": "distance to nearest elementary school; rounded"264 },265 {266 "model_id": "T4-c1",267 "var_name_printed": "JUNI",268 "taxonomy_id": "school_distance",269 "x_transform": "level",270 "x_unit": "m",271 "beta": -0.001,272 "se": 0.001,273 "t": -1.775,274 "p": null,275 "p_stars": "*",276 "ci_lo": null,277 "ci_hi": null,278 "page": 10,279 "confidence": "medium",280 "notes": "distance to nearest junior high school; rounded"281 },282 {283 "model_id": "T4-c1",284 "var_name_printed": "MRT",285 "taxonomy_id": "transit_distance",286 "x_transform": "level",287 "x_unit": "m",288 "beta": -0.001,289 "se": 0.001,290 "t": -39.312,291 "p": null,292 "p_stars": "***",293 "ci_lo": null,294 "ci_hi": null,295 "page": 10,296 "confidence": "medium",297 "notes": "distance to nearest MRT station; rounded"298 },299 {300 "model_id": "T4-c1",301 "var_name_printed": "TRAIN",302 "taxonomy_id": "transit_distance",303 "x_transform": "level",304 "x_unit": "m",305 "beta": 0.001,306 "se": 0.001,307 "t": 5.638,308 "p": null,309 "p_stars": "***",310 "ci_lo": null,311 "ci_hi": null,312 "page": 10,313 "confidence": "medium",314 "notes": "distance to nearest railway station; rounded"315 }316 ]317}