1{2 "record_id": "5cf7ffdc50779ba179e5d6c37bf66eba2f4f8109",3 "eligible": true,4 "exclusion_reason": null,5 "study": {6 "title": "The value capture potential of the Lisbon Subway",7 "year": 2012,8 "doi": "10.5198/jtlu.v5i1.251",9 "country": "Portugal",10 "region_city": "Lisbon (municipality / metropolitan area)",11 "sample_start": 2007,12 "sample_end": 2007,13 "property_type": "mixed",14 "price_type": "listing",15 "data_source": "Online realtor database (Imokapa Vector), asking prices of residential properties for sale in February 2007; 8,742 complete residential records",16 "document_type": "journal",17 "estimators": [18 "spatial_lag"19 ],20 "spatial_method": "spatial lag of log price (500 m influence area)",21 "time_fe": false,22 "location_fe": false,23 "se_type": "unknown",24 "n_obs_total": 8742,25 "ai_methods": [],26 "notes": "Table 3 reproduces the residential spatial hedonic model calibrated in Martinez & Viegas (2009) — POSSIBLE DUPLICATE with that earlier record; N is not printed in the table (8,742 = size of the 2007 residential dataset described on p.6). Semi-log specification ln(P) with spatial lag rho=0.3561. Coef. and Std. Error columns; ***/**/* = 1/5/10%. Accessibility variables are decreasing impedance functions (higher = closer): 2MAccess/1MAccess walking distance to two closest / closest subway line; Network1/2/3 Euclidean distance to nearest node of road hierarchy levels 1 (motorways), 2 (ring/radial), 3 (urban distribution); Sintra/Cascais walking time to commuter-rail stations. Age2/Age3 are building age classes (definitions not printed). The retail & office model in the same table was not extracted (non-residential)."27 },28 "models": [29 {30 "model_id": "T3-res",31 "table": "3",32 "column": "Residential model (Martinez and Viegas 2009)",33 "page": 7,34 "dep_var": "ln(asking price)",35 "dep_transform": "log",36 "estimator": "spatial_lag",37 "n_obs": 8742,38 "r2": 0.795,39 "se_or_t_in_parentheses": "se",40 "sample_subset": "residential properties, Lisbon; pseudo R2"41 }42 ],43 "coefficients": [44 {45 "model_id": "T3-res",46 "var_name_printed": "Bedrooms",47 "taxonomy_id": "bedrooms",48 "x_transform": "level",49 "x_unit": "count",50 "beta": 0.0427,51 "se": 0.003,52 "t": null,53 "p": null,54 "p_stars": "***",55 "ci_lo": null,56 "ci_hi": null,57 "page": 7,58 "confidence": "high",59 "notes": ""60 },61 {62 "model_id": "T3-res",63 "var_name_printed": "House",64 "taxonomy_id": "dwelling_type",65 "x_transform": "binary",66 "x_unit": "binary",67 "beta": 0.1685,68 "se": 0.0154,69 "t": null,70 "p": null,71 "p_stars": "***",72 "ci_lo": null,73 "ci_hi": null,74 "page": 7,75 "confidence": "high",76 "notes": "House (vs apartment)"77 },78 {79 "model_id": "T3-res",80 "var_name_printed": "Floor",81 "taxonomy_id": "floor_level",82 "x_transform": "level",83 "x_unit": "count",84 "beta": 0.0155,85 "se": 0.0009,86 "t": null,87 "p": null,88 "p_stars": "***",89 "ci_lo": null,90 "ci_hi": null,91 "page": 7,92 "confidence": "high",93 "notes": ""94 },95 {96 "model_id": "T3-res",97 "var_name_printed": "Area",98 "taxonomy_id": "living_area",99 "x_transform": "level",100 "x_unit": "m2",101 "beta": 0.0064,102 "se": 0.0001,103 "t": null,104 "p": null,105 "p_stars": "***",106 "ci_lo": null,107 "ci_hi": null,108 "page": 7,109 "confidence": "high",110 "notes": ""111 },112 {113 "model_id": "T3-res",114 "var_name_printed": "Age2",115 "taxonomy_id": "age",116 "x_transform": "dummy",117 "x_unit": "binary",118 "beta": -0.1034,119 "se": 0.0063,120 "t": null,121 "p": null,122 "p_stars": "***",123 "ci_lo": null,124 "ci_hi": null,125 "page": 7,126 "confidence": "high",127 "notes": "Building age class 2 (class bounds not printed)"128 },129 {130 "model_id": "T3-res",131 "var_name_printed": "Age3",132 "taxonomy_id": "age",133 "x_transform": "dummy",134 "x_unit": "binary",135 "beta": -0.0729,136 "se": 0.0068,137 "t": null,138 "p": null,139 "p_stars": "***",140 "ci_lo": null,141 "ci_hi": null,142 "page": 7,143 "confidence": "high",144 "notes": "Building age class 3 (class bounds not printed)"145 },146 {147 "model_id": "T3-res",148 "var_name_printed": "Garage",149 "taxonomy_id": "garage",150 "x_transform": "binary",151 "x_unit": "binary",152 "beta": 0.1126,153 "se": 0.0059,154 "t": null,155 "p": null,156 "p_stars": "***",157 "ci_lo": null,158 "ci_hi": null,159 "page": 7,160 "confidence": "high",161 "notes": "Off-street parking inside property"162 },163 {164 "model_id": "T3-res",165 "var_name_printed": "Educational Index",166 "taxonomy_id": "education_level",167 "x_transform": "level",168 "x_unit": "index",169 "beta": 0.416,170 "se": 0.0225,171 "t": null,172 "p": null,173 "p_stars": "***",174 "ci_lo": null,175 "ci_hi": null,176 "page": 7,177 "confidence": "high",178 "notes": "Neighbourhood education level indicator"179 },180 {181 "model_id": "T3-res",182 "var_name_printed": "Entropy Index",183 "taxonomy_id": "other",184 "x_transform": "level",185 "x_unit": "index",186 "beta": 0.2312,187 "se": 0.0234,188 "t": null,189 "p": null,190 "p_stars": "***",191 "ci_lo": null,192 "ci_hi": null,193 "page": 7,194 "confidence": "high",195 "notes": "Land-use mixture (entropy) indicator"196 },197 {198 "model_id": "T3-res",199 "var_name_printed": "2MAccess",200 "taxonomy_id": "transit_distance",201 "x_transform": "other",202 "x_unit": "index",203 "beta": 0.0916,204 "se": 0.0133,205 "t": null,206 "p": null,207 "p_stars": "***",208 "ci_lo": null,209 "ci_hi": null,210 "page": 7,211 "confidence": "high",212 "notes": "Impedance function of walking distance to the two closest subway lines (higher = closer)"213 },214 {215 "model_id": "T3-res",216 "var_name_printed": "1Maccess",217 "taxonomy_id": "transit_distance",218 "x_transform": "other",219 "x_unit": "index",220 "beta": 0.0652,221 "se": 0.0084,222 "t": null,223 "p": null,224 "p_stars": "***",225 "ci_lo": null,226 "ci_hi": null,227 "page": 7,228 "confidence": "high",229 "notes": "Impedance function of walking distance to closest subway line (higher = closer)"230 },231 {232 "model_id": "T3-res",233 "var_name_printed": "Network1",234 "taxonomy_id": "highway_distance",235 "x_transform": "other",236 "x_unit": "index",237 "beta": -0.0732,238 "se": 0.0069,239 "t": null,240 "p": null,241 "p_stars": "***",242 "ci_lo": null,243 "ci_hi": null,244 "page": 7,245 "confidence": "high",246 "notes": "Impedance of distance to nearest motorway node (higher = closer)"247 },248 {249 "model_id": "T3-res",250 "var_name_printed": "Network2",251 "taxonomy_id": "highway_distance",252 "x_transform": "other",253 "x_unit": "index",254 "beta": 0.0458,255 "se": 0.0064,256 "t": null,257 "p": null,258 "p_stars": "***",259 "ci_lo": null,260 "ci_hi": null,261 "page": 7,262 "confidence": "high",263 "notes": "Impedance of distance to nearest ring/radial road node (higher = closer)"264 },265 {266 "model_id": "T3-res",267 "var_name_printed": "Network3",268 "taxonomy_id": "highway_distance",269 "x_transform": "other",270 "x_unit": "index",271 "beta": -0.038,272 "se": 0.006,273 "t": null,274 "p": null,275 "p_stars": "***",276 "ci_lo": null,277 "ci_hi": null,278 "page": 7,279 "confidence": "high",280 "notes": "Impedance of distance to nearest urban distribution road node (higher = closer)"281 },282 {283 "model_id": "T3-res",284 "var_name_printed": "Sintra",285 "taxonomy_id": "transit_distance",286 "x_transform": "other",287 "x_unit": "index",288 "beta": -0.0614,289 "se": 0.0134,290 "t": null,291 "p": null,292 "p_stars": "***",293 "ci_lo": null,294 "ci_hi": null,295 "page": 7,296 "confidence": "high",297 "notes": "Impedance of walking time to Sintra commuter-rail stations (higher = closer)"298 },299 {300 "model_id": "T3-res",301 "var_name_printed": "Cascais",302 "taxonomy_id": "transit_distance",303 "x_transform": "other",304 "x_unit": "index",305 "beta": 0.1517,306 "se": 0.0259,307 "t": null,308 "p": null,309 "p_stars": "***",310 "ci_lo": null,311 "ci_hi": null,312 "page": 7,313 "confidence": "high",314 "notes": "Impedance of walking time to Cascais commuter-rail stations (higher = closer)"315 }316 ]317}