1{2 "record_id": "b51ae7fa8ad6ec948d8787f76cdf0f315d38c6f6",3 "eligible": true,4 "exclusion_reason": null,5 "study": {6 "title": "Spatial Heterogeneity in Hedonic House Price Models: The Case of Austria",7 "year": 2014,8 "doi": "10.1177/0042098013492234",9 "country": "Austria",10 "region_city": "national (all nine federal states)",11 "sample_start": 1998,12 "sample_end": 2009,13 "property_type": "single_family",14 "price_type": "transaction",15 "data_source": "UniCredit Bank Austria AG mortgage collateral records, 3,887 geocoded single-family homes; Statistics Austria census 2001 and Michael Bauer Research 2009 for neighbourhood covariates",16 "document_type": "working_paper",17 "estimators": [18 "OLS",19 "spatial_lag",20 "IV",21 "GWR"22 ],23 "spatial_method": "SAR (ML) and S2SLS spatial lag with k=5 nearest neighbours; mixed GWR (MGWR) with Gaussian kernel, adaptive bandwidth 177; federal-state dummies in global models",24 "time_fe": false,25 "location_fe": true,26 "se_type": "robust",27 "n_obs_total": 3887,28 "ai_methods": [],29 "notes": "Tinbergen Institute Discussion Paper TI 2013-171/VIII (published in Urban Studies 2014). Dependent variable = log purchase price in EUR. Global models include a linear year-of-purchase trend (1998-2009) and federal-state dummies (reference Lower Austria) - not extracted. SE types: OLS = White HC; SAR = ML standard; S2SLS = SHAC. Stepwise variable selection (AIC / p<0.05)."30 },31 "models": [32 {33 "model_id": "T2-OLS",34 "table": "2",35 "column": "OLS",36 "page": 14,37 "dep_var": "ln purchase price (EUR)",38 "dep_transform": "log",39 "estimator": "OLS",40 "n_obs": 3887,41 "r2": 0.473,42 "se_or_t_in_parentheses": "se",43 "sample_subset": "full sample",44 "notes": "Columns: Coeff., HC (White heteroskedasticity-consistent) Std. err., t-val. Adj. R2 = 0.473, AIC 2783, RMSE 0.344. Stepwise AIC variable selection. Includes linear year-of-purchase trend (time 0.009, SE 0.003) and 7 federal-state dummies (reference Lower Austria) - not extracted. n = 3,887 stated in data section (not in table)."45 },46 {47 "model_id": "T2-SAR",48 "table": "2",49 "column": "SAR",50 "page": 14,51 "dep_var": "ln purchase price (EUR)",52 "dep_transform": "log",53 "estimator": "spatial_lag",54 "n_obs": 3887,55 "r2": 0.486,56 "se_or_t_in_parentheses": "se",57 "sample_subset": "full sample",58 "notes": "Spatial lag (SAR) model, k=5 nearest-neighbour row-standardised W, ML; columns Coeff., Std. err., z-val. rho = 0.205 (p<0.001). Adj. R2 = 0.486, AIC 2707, RMSE 0.339. Time trend 0.010 (0.002) and federal-state dummies not extracted."59 },60 {61 "model_id": "T2-S2SLS",62 "table": "2",63 "column": "S2SLS",64 "page": 14,65 "dep_var": "ln purchase price (EUR)",66 "dep_transform": "log",67 "estimator": "IV",68 "n_obs": 3887,69 "r2": null,70 "se_or_t_in_parentheses": "se",71 "sample_subset": "full sample",72 "notes": "Spatial two-stage least squares (spatial lag with HAC/SHAC standard errors, triangular kernel, k=5); columns Coeff., SHAC Std. err., t-val. rho = 0.229 (p<0.001). RMSE 0.339; no R2 printed. Time trend 0.010 (0.003) and federal-state dummies not extracted."73 },74 {75 "model_id": "T3-global",76 "table": "3",77 "column": "Global coeff.",78 "page": 16,79 "dep_var": "ln purchase price (EUR)",80 "dep_transform": "log",81 "estimator": "GWR",82 "n_obs": null,83 "r2": null,84 "se_or_t_in_parentheses": "se",85 "sample_subset": "random 50% subsample of the 3,887 houses; only variables significant in global S2SLS (16 covariates); no federal-state dummies",86 "notes": "Table 3 'Global coeff.' column (Estim., Std.err., t-val.) of the semi-local MGWR table ('MGWR results and its global counterparts'). For cond_house_1, bath_1, attic_1, basement_1, garage_1, terr_1 these are the spatially fixed MGWR coefficients; for the 10 spatially varying covariates the global estimate is the global counterpart - ambiguous whether from MGWR or a global model on the subsample. Exact n not printed (approx. half of 3,887). Time trend 0.006 (0.003) not extracted. MGWR: Gaussian kernel, adaptive bandwidth 177 neighbours, AIC 1381, RMSE 0.338."87 },88 {89 "model_id": "T3-MGWR-median",90 "table": "3",91 "column": "Local coeff. Median",92 "page": 16,93 "dep_var": "ln purchase price (EUR)",94 "dep_transform": "log",95 "estimator": "GWR",96 "n_obs": null,97 "r2": null,98 "se_or_t_in_parentheses": "none",99 "sample_subset": "random 50% subsample; 10 spatially varying covariates",100 "notes": "Median of the local MGWR coefficients (1st and 3rd quartiles recorded in coefficient notes); F(3)-test of spatial non-stationarity stars. No SE. Local R2 ranges 0.24-0.49."101 }102 ],103 "coefficients": [104 {105 "model_id": "T2-OLS",106 "var_name_printed": "lnarea_total",107 "taxonomy_id": "living_area",108 "x_transform": "log",109 "x_unit": "m2",110 "beta": 0.41,111 "se": 0.017,112 "t": 23.988,113 "p": null,114 "p_stars": "***",115 "ci_lo": null,116 "ci_hi": null,117 "page": 14,118 "confidence": "high",119 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. log total floor area (m2, excl. basement)"120 },121 {122 "model_id": "T2-SAR",123 "var_name_printed": "lnarea_total",124 "taxonomy_id": "living_area",125 "x_transform": "log",126 "x_unit": "m2",127 "beta": 0.409,128 "se": 0.018,129 "t": 22.825,130 "p": null,131 "p_stars": "***",132 "ci_lo": null,133 "ci_hi": null,134 "page": 14,135 "confidence": "high",136 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. log total floor area (m2, excl. basement)"137 },138 {139 "model_id": "T2-S2SLS",140 "var_name_printed": "lnarea_total",141 "taxonomy_id": "living_area",142 "x_transform": "log",143 "x_unit": "m2",144 "beta": 0.411,145 "se": 0.017,146 "t": 23.864,147 "p": null,148 "p_stars": "***",149 "ci_lo": null,150 "ci_hi": null,151 "page": 14,152 "confidence": "high",153 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. log total floor area (m2, excl. basement)"154 },155 {156 "model_id": "T2-OLS",157 "var_name_printed": "lnarea_plot",158 "taxonomy_id": "lot_size",159 "x_transform": "log",160 "x_unit": "m2",161 "beta": 0.111,162 "se": 0.012,163 "t": 8.945,164 "p": null,165 "p_stars": "***",166 "ci_lo": null,167 "ci_hi": null,168 "page": 14,169 "confidence": "high",170 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. log plot area (m2)"171 },172 {173 "model_id": "T2-SAR",174 "var_name_printed": "lnarea_plot",175 "taxonomy_id": "lot_size",176 "x_transform": "log",177 "x_unit": "m2",178 "beta": 0.111,179 "se": 0.013,180 "t": 8.855,181 "p": null,182 "p_stars": "***",183 "ci_lo": null,184 "ci_hi": null,185 "page": 14,186 "confidence": "high",187 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. log plot area (m2)"188 },189 {190 "model_id": "T2-S2SLS",191 "var_name_printed": "lnarea_plot",192 "taxonomy_id": "lot_size",193 "x_transform": "log",194 "x_unit": "m2",195 "beta": 0.111,196 "se": 0.012,197 "t": 8.891,198 "p": null,199 "p_stars": "***",200 "ci_lo": null,201 "ci_hi": null,202 "page": 14,203 "confidence": "high",204 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. log plot area (m2)"205 },206 {207 "model_id": "T2-OLS",208 "var_name_printed": "cond_house_1",209 "taxonomy_id": "condition",210 "x_transform": "dummy",211 "x_unit": "binary",212 "beta": -0.052,213 "se": 0.014,214 "t": -3.742,215 "p": null,216 "p_stars": "***",217 "ci_lo": null,218 "ci_hi": null,219 "page": 14,220 "confidence": "high",221 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. condition of house: 1 = poor, 0 = good"222 },223 {224 "model_id": "T2-SAR",225 "var_name_printed": "cond_house_1",226 "taxonomy_id": "condition",227 "x_transform": "dummy",228 "x_unit": "binary",229 "beta": -0.045,230 "se": 0.014,231 "t": -3.33,232 "p": null,233 "p_stars": "**",234 "ci_lo": null,235 "ci_hi": null,236 "page": 14,237 "confidence": "high",238 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. condition of house: 1 = poor, 0 = good"239 },240 {241 "model_id": "T2-S2SLS",242 "var_name_printed": "cond_house_1",243 "taxonomy_id": "condition",244 "x_transform": "dummy",245 "x_unit": "binary",246 "beta": -0.044,247 "se": 0.014,248 "t": -3.229,249 "p": null,250 "p_stars": "**",251 "ci_lo": null,252 "ci_hi": null,253 "page": 14,254 "confidence": "high",255 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. condition of house: 1 = poor, 0 = good"256 },257 {258 "model_id": "T2-OLS",259 "var_name_printed": "heat_1",260 "taxonomy_id": "heating",261 "x_transform": "dummy",262 "x_unit": "binary",263 "beta": -0.102,264 "se": 0.02,265 "t": -5.018,266 "p": null,267 "p_stars": "***",268 "ci_lo": null,269 "ci_hi": null,270 "page": 14,271 "confidence": "high",272 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. heating system quality: 1 = poor, 0 = high"273 },274 {275 "model_id": "T2-SAR",276 "var_name_printed": "heat_1",277 "taxonomy_id": "heating",278 "x_transform": "dummy",279 "x_unit": "binary",280 "beta": -0.107,281 "se": 0.023,282 "t": -4.602,283 "p": null,284 "p_stars": "***",285 "ci_lo": null,286 "ci_hi": null,287 "page": 14,288 "confidence": "high",289 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. heating system quality: 1 = poor, 0 = high"290 },291 {292 "model_id": "T2-S2SLS",293 "var_name_printed": "heat_1",294 "taxonomy_id": "heating",295 "x_transform": "dummy",296 "x_unit": "binary",297 "beta": -0.105,298 "se": 0.021,299 "t": -5.005,300 "p": null,301 "p_stars": "***",302 "ci_lo": null,303 "ci_hi": null,304 "page": 14,305 "confidence": "high",306 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. heating system quality: 1 = poor, 0 = high"307 },308 {309 "model_id": "T2-OLS",310 "var_name_printed": "bath_1",311 "taxonomy_id": "bathroom_quality",312 "x_transform": "dummy",313 "x_unit": "binary",314 "beta": -0.076,315 "se": 0.019,316 "t": -3.91,317 "p": null,318 "p_stars": "***",319 "ci_lo": null,320 "ci_hi": null,321 "page": 14,322 "confidence": "high",323 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. bathroom/toilet quality: 1 = poor, 0 = high"324 },325 {326 "model_id": "T2-SAR",327 "var_name_printed": "bath_1",328 "taxonomy_id": "bathroom_quality",329 "x_transform": "dummy",330 "x_unit": "binary",331 "beta": -0.074,332 "se": 0.022,333 "t": -3.339,334 "p": null,335 "p_stars": "***",336 "ci_lo": null,337 "ci_hi": null,338 "page": 14,339 "confidence": "high",340 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. bathroom/toilet quality: 1 = poor, 0 = high"341 },342 {343 "model_id": "T2-S2SLS",344 "var_name_printed": "bath_1",345 "taxonomy_id": "bathroom_quality",346 "x_transform": "dummy",347 "x_unit": "binary",348 "beta": -0.075,349 "se": 0.019,350 "t": -3.985,351 "p": null,352 "p_stars": "***",353 "ci_lo": null,354 "ci_hi": null,355 "page": 14,356 "confidence": "high",357 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. bathroom/toilet quality: 1 = poor, 0 = high"358 },359 {360 "model_id": "T2-OLS",361 "var_name_printed": "attic_1",362 "taxonomy_id": "storage",363 "x_transform": "dummy",364 "x_unit": "binary",365 "beta": -0.024,366 "se": 0.012,367 "t": -2.018,368 "p": null,369 "p_stars": "*",370 "ci_lo": null,371 "ci_hi": null,372 "page": 14,373 "confidence": "high",374 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. attic present: 1 = yes"375 },376 {377 "model_id": "T2-SAR",378 "var_name_printed": "attic_1",379 "taxonomy_id": "storage",380 "x_transform": "dummy",381 "x_unit": "binary",382 "beta": -0.024,383 "se": 0.011,384 "t": -2.077,385 "p": null,386 "p_stars": "*",387 "ci_lo": null,388 "ci_hi": null,389 "page": 14,390 "confidence": "high",391 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. attic present: 1 = yes"392 },393 {394 "model_id": "T2-S2SLS",395 "var_name_printed": "attic_1",396 "taxonomy_id": "storage",397 "x_transform": "dummy",398 "x_unit": "binary",399 "beta": -0.024,400 "se": 0.012,401 "t": -2.02,402 "p": null,403 "p_stars": "*",404 "ci_lo": null,405 "ci_hi": null,406 "page": 14,407 "confidence": "high",408 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. attic present: 1 = yes"409 },410 {411 "model_id": "T2-OLS",412 "var_name_printed": "basement_1",413 "taxonomy_id": "basement",414 "x_transform": "dummy",415 "x_unit": "binary",416 "beta": 0.132,417 "se": 0.013,418 "t": 9.936,419 "p": null,420 "p_stars": "***",421 "ci_lo": null,422 "ci_hi": null,423 "page": 14,424 "confidence": "high",425 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. basement present: 1 = yes"426 },427 {428 "model_id": "T2-SAR",429 "var_name_printed": "basement_1",430 "taxonomy_id": "basement",431 "x_transform": "dummy",432 "x_unit": "binary",433 "beta": 0.126,434 "se": 0.013,435 "t": 9.597,436 "p": null,437 "p_stars": "***",438 "ci_lo": null,439 "ci_hi": null,440 "page": 14,441 "confidence": "high",442 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. basement present: 1 = yes"443 },444 {445 "model_id": "T2-S2SLS",446 "var_name_printed": "basement_1",447 "taxonomy_id": "basement",448 "x_transform": "dummy",449 "x_unit": "binary",450 "beta": 0.124,451 "se": 0.014,452 "t": 9.069,453 "p": null,454 "p_stars": "***",455 "ci_lo": null,456 "ci_hi": null,457 "page": 14,458 "confidence": "high",459 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. basement present: 1 = yes"460 },461 {462 "model_id": "T2-OLS",463 "var_name_printed": "garage_1",464 "taxonomy_id": "garage",465 "x_transform": "dummy",466 "x_unit": "binary",467 "beta": -0.082,468 "se": 0.012,469 "t": -6.899,470 "p": null,471 "p_stars": "***",472 "ci_lo": null,473 "ci_hi": null,474 "page": 14,475 "confidence": "high",476 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. garage quality: 1 = poor, 0 = high (quality indicator, not presence)"477 },478 {479 "model_id": "T2-SAR",480 "var_name_printed": "garage_1",481 "taxonomy_id": "garage",482 "x_transform": "dummy",483 "x_unit": "binary",484 "beta": -0.084,485 "se": 0.012,486 "t": -7.162,487 "p": null,488 "p_stars": "***",489 "ci_lo": null,490 "ci_hi": null,491 "page": 14,492 "confidence": "high",493 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. garage quality: 1 = poor, 0 = high (quality indicator, not presence)"494 },495 {496 "model_id": "T2-S2SLS",497 "var_name_printed": "garage_1",498 "taxonomy_id": "garage",499 "x_transform": "dummy",500 "x_unit": "binary",501 "beta": -0.084,502 "se": 0.012,503 "t": -7.064,504 "p": null,505 "p_stars": "***",506 "ci_lo": null,507 "ci_hi": null,508 "page": 14,509 "confidence": "high",510 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. garage quality: 1 = poor, 0 = high (quality indicator, not presence)"511 },512 {513 "model_id": "T2-OLS",514 "var_name_printed": "terr_1",515 "taxonomy_id": "terrace_balcony",516 "x_transform": "dummy",517 "x_unit": "binary",518 "beta": 0.07,519 "se": 0.012,520 "t": 5.893,521 "p": null,522 "p_stars": "***",523 "ci_lo": null,524 "ci_hi": null,525 "page": 14,526 "confidence": "high",527 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. terrace present: 1 = yes"528 },529 {530 "model_id": "T2-SAR",531 "var_name_printed": "terr_1",532 "taxonomy_id": "terrace_balcony",533 "x_transform": "dummy",534 "x_unit": "binary",535 "beta": 0.066,536 "se": 0.012,537 "t": 5.673,538 "p": null,539 "p_stars": "***",540 "ci_lo": null,541 "ci_hi": null,542 "page": 14,543 "confidence": "high",544 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. terrace present: 1 = yes"545 },546 {547 "model_id": "T2-S2SLS",548 "var_name_printed": "terr_1",549 "taxonomy_id": "terrace_balcony",550 "x_transform": "dummy",551 "x_unit": "binary",552 "beta": 0.066,553 "se": 0.012,554 "t": 5.574,555 "p": null,556 "p_stars": "***",557 "ci_lo": null,558 "ci_hi": null,559 "page": 14,560 "confidence": "high",561 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. terrace present: 1 = yes"562 },563 {564 "model_id": "T2-OLS",565 "var_name_printed": "age",566 "taxonomy_id": "age",567 "x_transform": "level",568 "x_unit": "years",569 "beta": -0.006,570 "se": 0.0,571 "t": -16.976,572 "p": null,573 "p_stars": "***",574 "ci_lo": null,575 "ci_hi": null,576 "page": 14,577 "confidence": "high",578 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. age of building at time of sale"579 },580 {581 "model_id": "T2-SAR",582 "var_name_printed": "age",583 "taxonomy_id": "age",584 "x_transform": "level",585 "x_unit": "years",586 "beta": -0.006,587 "se": 0.0,588 "t": -17.617,589 "p": null,590 "p_stars": "***",591 "ci_lo": null,592 "ci_hi": null,593 "page": 14,594 "confidence": "high",595 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. age of building at time of sale"596 },597 {598 "model_id": "T2-S2SLS",599 "var_name_printed": "age",600 "taxonomy_id": "age",601 "x_transform": "level",602 "x_unit": "years",603 "beta": -0.006,604 "se": 0.0,605 "t": -16.434,606 "p": null,607 "p_stars": "",608 "ci_lo": null,609 "ci_hi": null,610 "page": 14,611 "confidence": "high",612 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. age of building at time of sale; t printed as -16.434 without stars (likely omitted stars)"613 },614 {615 "model_id": "T2-OLS",616 "var_name_printed": "muni_pp_ind",617 "taxonomy_id": "income",618 "x_transform": "level",619 "x_unit": "index",620 "beta": 0.005,621 "se": 0.001,622 "t": 5.8,623 "p": null,624 "p_stars": "***",625 "ci_lo": null,626 "ci_hi": null,627 "page": 14,628 "confidence": "high",629 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. municipal purchasing power index (federal state = 100, 2009)"630 },631 {632 "model_id": "T2-SAR",633 "var_name_printed": "muni_pp_ind",634 "taxonomy_id": "income",635 "x_transform": "level",636 "x_unit": "index",637 "beta": 0.005,638 "se": 0.001,639 "t": 5.89,640 "p": null,641 "p_stars": "***",642 "ci_lo": null,643 "ci_hi": null,644 "page": 14,645 "confidence": "high",646 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. municipal purchasing power index (federal state = 100, 2009)"647 },648 {649 "model_id": "T2-S2SLS",650 "var_name_printed": "muni_pp_ind",651 "taxonomy_id": "income",652 "x_transform": "level",653 "x_unit": "index",654 "beta": 0.005,655 "se": 0.001,656 "t": 5.709,657 "p": null,658 "p_stars": "***",659 "ci_lo": null,660 "ci_hi": null,661 "page": 14,662 "confidence": "high",663 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. municipal purchasing power index (federal state = 100, 2009)"664 },665 {666 "model_id": "T2-OLS",667 "var_name_printed": "muni_acad",668 "taxonomy_id": "education_level",669 "x_transform": "level",670 "x_unit": "share",671 "beta": 0.011,672 "se": 0.002,673 "t": 5.695,674 "p": null,675 "p_stars": "***",676 "ci_lo": null,677 "ci_hi": null,678 "page": 14,679 "confidence": "high",680 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. municipal proportion of academics (%, 2001)"681 },682 {683 "model_id": "T2-SAR",684 "var_name_printed": "muni_acad",685 "taxonomy_id": "education_level",686 "x_transform": "level",687 "x_unit": "share",688 "beta": 0.009,689 "se": 0.002,690 "t": 4.384,691 "p": null,692 "p_stars": "***",693 "ci_lo": null,694 "ci_hi": null,695 "page": 14,696 "confidence": "high",697 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. municipal proportion of academics (%, 2001)"698 },699 {700 "model_id": "T2-S2SLS",701 "var_name_printed": "muni_acad",702 "taxonomy_id": "education_level",703 "x_transform": "level",704 "x_unit": "share",705 "beta": 0.008,706 "se": 0.002,707 "t": 3.692,708 "p": null,709 "p_stars": "***",710 "ci_lo": null,711 "ci_hi": null,712 "page": 14,713 "confidence": "high",714 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. municipal proportion of academics (%, 2001)"715 },716 {717 "model_id": "T2-OLS",718 "var_name_printed": "muni_unempl",719 "taxonomy_id": "unemployment",720 "x_transform": "level",721 "x_unit": "share",722 "beta": -1.454,723 "se": 0.649,724 "t": -2.241,725 "p": null,726 "p_stars": "*",727 "ci_lo": null,728 "ci_hi": null,729 "page": 14,730 "confidence": "high",731 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. municipal unemployment rate (%, 2009); only retained in OLS (dropped from SAR/S2SLS as insignificant)"732 },733 {734 "model_id": "T2-OLS",735 "var_name_printed": "muni_age_ind",736 "taxonomy_id": "demographics",737 "x_transform": "level",738 "x_unit": "index",739 "beta": -0.02,740 "se": 0.004,741 "t": -5.538,742 "p": null,743 "p_stars": "***",744 "ci_lo": null,745 "ci_hi": null,746 "page": 14,747 "confidence": "high",748 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. municipal population age index (5-year cohorts, 2001)"749 },750 {751 "model_id": "T2-SAR",752 "var_name_printed": "muni_age_ind",753 "taxonomy_id": "demographics",754 "x_transform": "level",755 "x_unit": "index",756 "beta": -0.017,757 "se": 0.004,758 "t": -4.788,759 "p": null,760 "p_stars": "***",761 "ci_lo": null,762 "ci_hi": null,763 "page": 14,764 "confidence": "high",765 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. municipal population age index (5-year cohorts, 2001)"766 },767 {768 "model_id": "T2-S2SLS",769 "var_name_printed": "muni_age_ind",770 "taxonomy_id": "demographics",771 "x_transform": "level",772 "x_unit": "index",773 "beta": -0.016,774 "se": 0.004,775 "t": -4.255,776 "p": null,777 "p_stars": "***",778 "ci_lo": null,779 "ci_hi": null,780 "page": 14,781 "confidence": "high",782 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. municipal population age index (5-year cohorts, 2001)"783 },784 {785 "model_id": "T2-OLS",786 "var_name_printed": "ln_muni_popd",787 "taxonomy_id": "density",788 "x_transform": "log",789 "x_unit": "per_km2",790 "beta": 0.033,791 "se": 0.007,792 "t": 4.518,793 "p": null,794 "p_stars": "***",795 "ci_lo": null,796 "ci_hi": null,797 "page": 14,798 "confidence": "high",799 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. log municipal population density (2001)"800 },801 {802 "model_id": "T2-SAR",803 "var_name_printed": "ln_muni_popd",804 "taxonomy_id": "density",805 "x_transform": "log",806 "x_unit": "per_km2",807 "beta": 0.02,808 "se": 0.006,809 "t": 3.153,810 "p": null,811 "p_stars": "**",812 "ci_lo": null,813 "ci_hi": null,814 "page": 14,815 "confidence": "high",816 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. log municipal population density (2001)"817 },818 {819 "model_id": "T2-S2SLS",820 "var_name_printed": "ln_muni_popd",821 "taxonomy_id": "density",822 "x_transform": "log",823 "x_unit": "per_km2",824 "beta": 0.02,825 "se": 0.006,826 "t": 3.245,827 "p": null,828 "p_stars": "",829 "ci_lo": null,830 "ci_hi": null,831 "page": 14,832 "confidence": "high",833 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. log municipal population density (2001); t printed as 3.245 without stars"834 },835 {836 "model_id": "T2-OLS",837 "var_name_printed": "enumd_acad_dmuni",838 "taxonomy_id": "education_level",839 "x_transform": "level",840 "x_unit": "share",841 "beta": 0.008,842 "se": 0.001,843 "t": 6.072,844 "p": null,845 "p_stars": "***",846 "ci_lo": null,847 "ci_hi": null,848 "page": 14,849 "confidence": "high",850 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. enumeration-district proportion of academics, deviation from municipal mean (compositional effect)"851 },852 {853 "model_id": "T2-SAR",854 "var_name_printed": "enumd_acad_dmuni",855 "taxonomy_id": "education_level",856 "x_transform": "level",857 "x_unit": "share",858 "beta": 0.006,859 "se": 0.001,860 "t": 4.997,861 "p": null,862 "p_stars": "***",863 "ci_lo": null,864 "ci_hi": null,865 "page": 14,866 "confidence": "high",867 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. enumeration-district proportion of academics, deviation from municipal mean (compositional effect)"868 },869 {870 "model_id": "T2-S2SLS",871 "var_name_printed": "enumd_acad_dmuni",872 "taxonomy_id": "education_level",873 "x_transform": "level",874 "x_unit": "share",875 "beta": 0.005,876 "se": 0.001,877 "t": 4.232,878 "p": null,879 "p_stars": "**",880 "ci_lo": null,881 "ci_hi": null,882 "page": 14,883 "confidence": "high",884 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. enumeration-district proportion of academics, deviation from municipal mean (compositional effect)"885 },886 {887 "model_id": "T2-OLS",888 "var_name_printed": "enumd_unempl_dmuni",889 "taxonomy_id": "unemployment",890 "x_transform": "level",891 "x_unit": "share",892 "beta": 1.758,893 "se": 0.607,894 "t": 2.898,895 "p": null,896 "p_stars": "**",897 "ci_lo": null,898 "ci_hi": null,899 "page": 14,900 "confidence": "high",901 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. enumeration-district unemployment rate, deviation from municipal mean (compositional effect); only in OLS; dropped in SAR/S2SLS because main effect insignificant"902 },903 {904 "model_id": "T2-OLS",905 "var_name_printed": "enumd_age_ind_dmuni",906 "taxonomy_id": "demographics",907 "x_transform": "level",908 "x_unit": "index",909 "beta": 0.004,910 "se": 0.003,911 "t": 1.568,912 "p": null,913 "p_stars": "***",914 "ci_lo": null,915 "ci_hi": null,916 "page": 14,917 "confidence": "high",918 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. enumeration-district age index, deviation from municipal mean (compositional effect); only in OLS; stars (***) inconsistent with printed t = 1.568, recorded as printed"919 },920 {921 "model_id": "T3-global",922 "var_name_printed": "lnarea_total",923 "taxonomy_id": "living_area",924 "x_transform": "log",925 "x_unit": "m2",926 "beta": 0.422,927 "se": 0.024,928 "t": 17.453,929 "p": null,930 "p_stars": "***",931 "ci_lo": null,932 "ci_hi": null,933 "page": 16,934 "confidence": "medium",935 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. log total floor area (m2, excl. basement); global counterpart of a spatially varying covariate (see model notes)"936 },937 {938 "model_id": "T3-global",939 "var_name_printed": "lnarea_plot",940 "taxonomy_id": "lot_size",941 "x_transform": "log",942 "x_unit": "m2",943 "beta": 0.077,944 "se": 0.018,945 "t": 4.268,946 "p": null,947 "p_stars": "***",948 "ci_lo": null,949 "ci_hi": null,950 "page": 16,951 "confidence": "medium",952 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. log plot area (m2); global counterpart of a spatially varying covariate (see model notes)"953 },954 {955 "model_id": "T3-global",956 "var_name_printed": "heat_1",957 "taxonomy_id": "heating",958 "x_transform": "dummy",959 "x_unit": "binary",960 "beta": -0.111,961 "se": 0.031,962 "t": -3.544,963 "p": null,964 "p_stars": "***",965 "ci_lo": null,966 "ci_hi": null,967 "page": 16,968 "confidence": "medium",969 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. heating system quality: 1 = poor, 0 = high; global counterpart of a spatially varying covariate (see model notes)"970 },971 {972 "model_id": "T3-global",973 "var_name_printed": "Age",974 "taxonomy_id": "age",975 "x_transform": "level",976 "x_unit": "years",977 "beta": -0.005,978 "se": 0.0,979 "t": -11.441,980 "p": null,981 "p_stars": "***",982 "ci_lo": null,983 "ci_hi": null,984 "page": 16,985 "confidence": "medium",986 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. age of building at time of sale; global counterpart of a spatially varying covariate (see model notes)"987 },988 {989 "model_id": "T3-global",990 "var_name_printed": "enumd_unempl",991 "taxonomy_id": "unemployment",992 "x_transform": "level",993 "x_unit": "share",994 "beta": -2.103,995 "se": 0.587,996 "t": 3.581,997 "p": null,998 "p_stars": "***",999 "ci_lo": null,1000 "ci_hi": null,1001 "page": 16,1002 "confidence": "medium",1003 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. unemployment rate at enumeration-district level (%); printed t-value 3.581 has sign inconsistent with negative coefficient (recorded as printed); global counterpart of a spatially varying covariate (see model notes)"1004 },1005 {1006 "model_id": "T3-global",1007 "var_name_printed": "muni_pp_ind",1008 "taxonomy_id": "income",1009 "x_transform": "level",1010 "x_unit": "index",1011 "beta": 0.004,1012 "se": 0.001,1013 "t": 4.442,1014 "p": null,1015 "p_stars": "***",1016 "ci_lo": null,1017 "ci_hi": null,1018 "page": 16,1019 "confidence": "medium",1020 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. municipal purchasing power index (federal state = 100, 2009); global counterpart of a spatially varying covariate (see model notes)"1021 },1022 {1023 "model_id": "T3-global",1024 "var_name_printed": "muni_acad",1025 "taxonomy_id": "education_level",1026 "x_transform": "level",1027 "x_unit": "share",1028 "beta": 0.012,1029 "se": 0.003,1030 "t": 4.567,1031 "p": null,1032 "p_stars": "***",1033 "ci_lo": null,1034 "ci_hi": null,1035 "page": 16,1036 "confidence": "medium",1037 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. municipal proportion of academics (%, 2001); global counterpart of a spatially varying covariate (see model notes)"1038 },1039 {1040 "model_id": "T3-global",1041 "var_name_printed": "muni_age_ind",1042 "taxonomy_id": "demographics",1043 "x_transform": "level",1044 "x_unit": "index",1045 "beta": -0.038,1046 "se": 0.005,1047 "t": -8.26,1048 "p": null,1049 "p_stars": "***",1050 "ci_lo": null,1051 "ci_hi": null,1052 "page": 16,1053 "confidence": "medium",1054 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. municipal population age index (5-year cohorts, 2001); global counterpart of a spatially varying covariate (see model notes)"1055 },1056 {1057 "model_id": "T3-global",1058 "var_name_printed": "ln_muni_popd",1059 "taxonomy_id": "density",1060 "x_transform": "log",1061 "x_unit": "per_km2",1062 "beta": 0.067,1063 "se": 0.008,1064 "t": 8.623,1065 "p": null,1066 "p_stars": "***",1067 "ci_lo": null,1068 "ci_hi": null,1069 "page": 16,1070 "confidence": "medium",1071 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. log municipal population density (2001); global counterpart of a spatially varying covariate (see model notes)"1072 },1073 {1074 "model_id": "T3-global",1075 "var_name_printed": "cond_house_1",1076 "taxonomy_id": "condition",1077 "x_transform": "dummy",1078 "x_unit": "binary",1079 "beta": -0.038,1080 "se": 0.02,1081 "t": -1.953,1082 "p": null,1083 "p_stars": ".",1084 "ci_lo": null,1085 "ci_hi": null,1086 "page": 16,1087 "confidence": "high",1088 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. condition of house: 1 = poor, 0 = good; spatially fixed (global) coefficient in MGWR"1089 },1090 {1091 "model_id": "T3-global",1092 "var_name_printed": "bath_1",1093 "taxonomy_id": "bathroom_quality",1094 "x_transform": "dummy",1095 "x_unit": "binary",1096 "beta": -0.064,1097 "se": 0.031,1098 "t": -2.029,1099 "p": null,1100 "p_stars": "*",1101 "ci_lo": null,1102 "ci_hi": null,1103 "page": 16,1104 "confidence": "high",1105 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. bathroom/toilet quality: 1 = poor, 0 = high; spatially fixed (global) coefficient in MGWR"1106 },1107 {1108 "model_id": "T3-global",1109 "var_name_printed": "attic_1",1110 "taxonomy_id": "storage",1111 "x_transform": "dummy",1112 "x_unit": "binary",1113 "beta": -0.028,1114 "se": 0.016,1115 "t": -1.674,1116 "p": null,1117 "p_stars": ".",1118 "ci_lo": null,1119 "ci_hi": null,1120 "page": 16,1121 "confidence": "high",1122 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. attic present: 1 = yes; spatially fixed (global) coefficient in MGWR"1123 },1124 {1125 "model_id": "T3-global",1126 "var_name_printed": "basement_1",1127 "taxonomy_id": "basement",1128 "x_transform": "dummy",1129 "x_unit": "binary",1130 "beta": 0.144,1131 "se": 0.019,1132 "t": 7.665,1133 "p": null,1134 "p_stars": "***",1135 "ci_lo": null,1136 "ci_hi": null,1137 "page": 16,1138 "confidence": "high",1139 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. basement present: 1 = yes; spatially fixed (global) coefficient in MGWR"1140 },1141 {1142 "model_id": "T3-global",1143 "var_name_printed": "garage_1",1144 "taxonomy_id": "garage",1145 "x_transform": "dummy",1146 "x_unit": "binary",1147 "beta": -0.068,1148 "se": 0.017,1149 "t": -4.06,1150 "p": null,1151 "p_stars": "***",1152 "ci_lo": null,1153 "ci_hi": null,1154 "page": 16,1155 "confidence": "high",1156 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. garage quality: 1 = poor, 0 = high (quality indicator, not presence); spatially fixed (global) coefficient in MGWR"1157 },1158 {1159 "model_id": "T3-global",1160 "var_name_printed": "terr_1",1161 "taxonomy_id": "terrace_balcony",1162 "x_transform": "dummy",1163 "x_unit": "binary",1164 "beta": 0.076,1165 "se": 0.017,1166 "t": 4.587,1167 "p": null,1168 "p_stars": "***",1169 "ci_lo": null,1170 "ci_hi": null,1171 "page": 16,1172 "confidence": "high",1173 "notes": "Stars: *** p<0.001, ** p<0.01, * p<0.05, . p<0.10. terrace present: 1 = yes; spatially fixed (global) coefficient in MGWR"1174 },1175 {1176 "model_id": "T3-MGWR-median",1177 "var_name_printed": "lnarea_total",1178 "taxonomy_id": "living_area",1179 "x_transform": "log",1180 "x_unit": "m2",1181 "beta": 0.398,1182 "se": null,1183 "t": null,1184 "p": null,1185 "p_stars": "***",1186 "ci_lo": null,1187 "ci_hi": null,1188 "page": 16,1189 "confidence": "medium",1190 "notes": "Median of local MGWR coefficients; 1st quartile 0.367, 3rd quartile 0.458; stars = F(3)-test of spatial non-stationarity (*** 0.001, * 0.05), not a significance test of the coefficient. log total floor area (m2, excl. basement)"1191 },1192 {1193 "model_id": "T3-MGWR-median",1194 "var_name_printed": "lnarea_plot",1195 "taxonomy_id": "lot_size",1196 "x_transform": "log",1197 "x_unit": "m2",1198 "beta": 0.087,1199 "se": null,1200 "t": null,1201 "p": null,1202 "p_stars": "***",1203 "ci_lo": null,1204 "ci_hi": null,1205 "page": 16,1206 "confidence": "medium",1207 "notes": "Median of local MGWR coefficients; 1st quartile 0.061, 3rd quartile 0.111; stars = F(3)-test of spatial non-stationarity (*** 0.001, * 0.05), not a significance test of the coefficient. log plot area (m2)"1208 },1209 {1210 "model_id": "T3-MGWR-median",1211 "var_name_printed": "heat_1",1212 "taxonomy_id": "heating",1213 "x_transform": "dummy",1214 "x_unit": "binary",1215 "beta": -0.125,1216 "se": null,1217 "t": null,1218 "p": null,1219 "p_stars": "*",1220 "ci_lo": null,1221 "ci_hi": null,1222 "page": 16,1223 "confidence": "medium",1224 "notes": "Median of local MGWR coefficients; 1st quartile -0.163, 3rd quartile -0.072; stars = F(3)-test of spatial non-stationarity (*** 0.001, * 0.05), not a significance test of the coefficient. heating system quality: 1 = poor, 0 = high"1225 },1226 {1227 "model_id": "T3-MGWR-median",1228 "var_name_printed": "Age",1229 "taxonomy_id": "age",1230 "x_transform": "level",1231 "x_unit": "years",1232 "beta": -0.005,1233 "se": null,1234 "t": null,1235 "p": null,1236 "p_stars": "***",1237 "ci_lo": null,1238 "ci_hi": null,1239 "page": 16,1240 "confidence": "medium",1241 "notes": "Median of local MGWR coefficients; 1st quartile -0.006, 3rd quartile -0.004; stars = F(3)-test of spatial non-stationarity (*** 0.001, * 0.05), not a significance test of the coefficient. age of building at time of sale"1242 },1243 {1244 "model_id": "T3-MGWR-median",1245 "var_name_printed": "enumd_unempl",1246 "taxonomy_id": "unemployment",1247 "x_transform": "level",1248 "x_unit": "share",1249 "beta": -1.52,1250 "se": null,1251 "t": null,1252 "p": null,1253 "p_stars": "***",1254 "ci_lo": null,1255 "ci_hi": null,1256 "page": 16,1257 "confidence": "medium",1258 "notes": "Median of local MGWR coefficients; 1st quartile -2.335, 3rd quartile -2.236; stars = F(3)-test of spatial non-stationarity (*** 0.001, * 0.05), not a significance test of the coefficient. unemployment rate at enumeration-district level (%); printed 3rd quartile (-2.236) is below the median (-1.520) - printed inconsistency"1259 },1260 {1261 "model_id": "T3-MGWR-median",1262 "var_name_printed": "muni_pp_ind",1263 "taxonomy_id": "income",1264 "x_transform": "level",1265 "x_unit": "index",1266 "beta": 0.006,1267 "se": null,1268 "t": null,1269 "p": null,1270 "p_stars": "***",1271 "ci_lo": null,1272 "ci_hi": null,1273 "page": 16,1274 "confidence": "medium",1275 "notes": "Median of local MGWR coefficients; 1st quartile -0.001, 3rd quartile 0.007; stars = F(3)-test of spatial non-stationarity (*** 0.001, * 0.05), not a significance test of the coefficient. municipal purchasing power index (federal state = 100, 2009)"1276 },1277 {1278 "model_id": "T3-MGWR-median",1279 "var_name_printed": "muni_acad",1280 "taxonomy_id": "education_level",1281 "x_transform": "level",1282 "x_unit": "share",1283 "beta": 0.015,1284 "se": null,1285 "t": null,1286 "p": null,1287 "p_stars": "***",1288 "ci_lo": null,1289 "ci_hi": null,1290 "page": 16,1291 "confidence": "medium",1292 "notes": "Median of local MGWR coefficients; 1st quartile 0.007, 3rd quartile 0.022; stars = F(3)-test of spatial non-stationarity (*** 0.001, * 0.05), not a significance test of the coefficient. municipal proportion of academics (%, 2001)"1293 },1294 {1295 "model_id": "T3-MGWR-median",1296 "var_name_printed": "muni_age_ind",1297 "taxonomy_id": "demographics",1298 "x_transform": "level",1299 "x_unit": "index",1300 "beta": -0.028,1301 "se": null,1302 "t": null,1303 "p": null,1304 "p_stars": "***",1305 "ci_lo": null,1306 "ci_hi": null,1307 "page": 16,1308 "confidence": "medium",1309 "notes": "Median of local MGWR coefficients; 1st quartile -0.037, 3rd quartile -0.022; stars = F(3)-test of spatial non-stationarity (*** 0.001, * 0.05), not a significance test of the coefficient. municipal population age index (5-year cohorts, 2001)"1310 },1311 {1312 "model_id": "T3-MGWR-median",1313 "var_name_printed": "ln_muni_popd",1314 "taxonomy_id": "density",1315 "x_transform": "log",1316 "x_unit": "per_km2",1317 "beta": 0.065,1318 "se": null,1319 "t": null,1320 "p": null,1321 "p_stars": "***",1322 "ci_lo": null,1323 "ci_hi": null,1324 "page": 16,1325 "confidence": "medium",1326 "notes": "Median of local MGWR coefficients; 1st quartile 0.036, 3rd quartile 0.079; stars = F(3)-test of spatial non-stationarity (*** 0.001, * 0.05), not a significance test of the coefficient. log municipal population density (2001)"1327 }1328 ]1329}