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1{2 "record_id": "122e07c191e40cdc3321c3817fb731f2d55466e1",3 "eligible": true,4 "exclusion_reason": null,5 "study": {6  "title": "Path selection of spatial econometric model for mass appraisal of real estate: evidence from Yinchuan, China",7  "year": 2023,8  "doi": "10.3846/ijspm.2023.20376",9  "country": "China",10  "region_city": "Yinchuan, Xixia District (Ningxia)",11  "sample_start": 2022,12  "sample_end": 2022,13  "property_type": "condo_apartment",14  "price_type": "listing",15  "data_source": "Listing prices (yuan/m2) from lianjia.com, anjuke.com, 58.com collected 1-7 April 2022; 429 benchmark properties selected from >2,500 listings",16  "document_type": "journal",17  "estimators": [18   "spatial_lag",19   "other"20  ],21  "spatial_method": "Spatial Durbin model, k=16 nearest-neighbour weight matrix (GeoDa)",22  "time_fe": false,23  "location_fe": false,24  "se_type": "unknown",25  "n_obs_total": 429,26  "ai_methods": [],27  "notes": "Dependent variable Ln(Y) with Y = unit price in yuan/m2 (log of price per m2). Only Table 9 (SDM) prints coefficients with SE/t/p; Table 8 reports t-statistics and p-values only for CLR/SLX/SLM/SEM/SDM/SDEM/SAC/GNS, so those models could not be extracted. Spatial lags of regressors (W_Ar -0.0016, W_EH -0.0758, W_Ag 0.0109, W_F -0.0058, W_D -0.0080) and rho 0.6902 not extracted. Many location variables enter as inverse distance or quality/distance ratios (x_transform 'other')."28 },29 "models": [30  {31   "model_id": "T9-SDM",32   "table": "9",33   "column": "1",34   "page": 11,35   "dep_var": "Ln unit listing price (yuan/m2)",36   "dep_transform": "log",37   "estimator": "spatial_lag",38   "n_obs": 429,39   "r2": 0.9037,40   "se_or_t_in_parentheses": "none",41   "sample_subset": "Spatial Durbin model (coefficient, SE, t, p in separate columns); R2 from Table 7"42  }43 ],44 "coefficients": [45  {46   "model_id": "T9-SDM",47   "var_name_printed": "Ar",48   "taxonomy_id": "living_area",49   "x_transform": "level",50   "x_unit": "m2",51   "beta": 0.0029,52   "se": 0.0002,53   "t": 13.05,54   "p": 0.0,55   "p_stars": "",56   "ci_lo": null,57   "ci_hi": null,58   "page": 11,59   "confidence": "high",60   "notes": "Building area in m2 (range 40-200)"61  },62  {63   "model_id": "T9-SDM",64   "var_name_printed": "D",65   "taxonomy_id": "condition",66   "x_transform": "other",67   "x_unit": "index",68   "beta": 0.0219,69   "se": 0.0025,70   "t": 8.88,71   "p": 0.0,72   "p_stars": "",73   "ci_lo": null,74   "ci_hi": null,75   "page": 11,76   "confidence": "high",77   "notes": "Decoration/finish level ordinal score: blank 2, simple 4, medium 6, hardcover 8, luxury 10"78  },79  {80   "model_id": "T9-SDM",81   "var_name_printed": "F",82   "taxonomy_id": "floor_level",83   "x_transform": "other",84   "x_unit": "index",85   "beta": 0.0285,86   "se": 0.0048,87   "t": 5.93,88   "p": 0.0,89   "p_stars": "",90   "ci_lo": null,91   "ci_hi": null,92   "page": 11,93   "confidence": "high",94   "notes": "Floor position ordinal score 1-3/4 (high-rise: low 1, middle 3, high 2; low-rise: low 3, medium 2, high 1), not floor number"95  },96  {97   "model_id": "T9-SDM",98   "var_name_printed": "EH",99   "taxonomy_id": "accessibility",100   "x_transform": "level",101   "x_unit": "share",102   "beta": 0.099,103   "se": 0.019,104   "t": 5.22,105   "p": 0.0,106   "p_stars": "",107   "ci_lo": null,108   "ci_hi": null,109   "page": 11,110   "confidence": "high",111   "notes": "Elevators per household on the floor (number of elevators / number of units on the floor), proxy for elevator access"112  },113  {114   "model_id": "T9-SDM",115   "var_name_printed": "Ag",116   "taxonomy_id": "age",117   "x_transform": "level",118   "x_unit": "years",119   "beta": -0.0157,120   "se": 0.001,121   "t": -15.74,122   "p": 0.0,123   "p_stars": "",124   "ci_lo": null,125   "ci_hi": null,126   "page": 11,127   "confidence": "high",128   "notes": "Age = 2022.4.1 minus year built, years"129  },130  {131   "model_id": "T9-SDM",132   "var_name_printed": "B",133   "taxonomy_id": "transit_distance",134   "x_transform": "other",135   "x_unit": "index",136   "beta": 0.0005,137   "se": 0.0002,138   "t": 2.99,139   "p": 0.003,140   "p_stars": "",141   "ci_lo": null,142   "ci_hi": null,143   "page": 11,144   "confidence": "high",145   "notes": "Bus: number of bus routes divided by distance to bus stop (quantity/distance), higher = better access; sign opposite to a distance measure"146  },147  {148   "model_id": "T9-SDM",149   "var_name_printed": "MR",150   "taxonomy_id": "highway_distance",151   "x_transform": "other",152   "x_unit": "index",153   "beta": -0.0037,154   "se": 0.0014,155   "t": -2.68,156   "p": 0.007,157   "p_stars": "",158   "ci_lo": null,159   "ci_hi": null,160   "page": 11,161   "confidence": "high",162   "notes": "Main road: inverse geographical distance (anti-distance); negative sign means closer to main road lowers price"163  },164  {165   "model_id": "T9-SDM",166   "var_name_printed": "SM",167   "taxonomy_id": "commercial_distance",168   "x_transform": "other",169   "x_unit": "index",170   "beta": 0.0035,171   "se": 0.0018,172   "t": 1.98,173   "p": 0.048,174   "p_stars": "",175   "ci_lo": null,176   "ci_hi": null,177   "page": 11,178   "confidence": "high",179   "notes": "Shopping mall: service-capacity score (municipal 3, district 2, street 1) divided by distance"180  },181  {182   "model_id": "T9-SDM",183   "var_name_printed": "CBD",184   "taxonomy_id": "cbd_distance",185   "x_transform": "other",186   "x_unit": "index",187   "beta": 0.4269,188   "se": 0.1393,189   "t": 3.06,190   "p": 0.002,191   "p_stars": "",192   "ci_lo": null,193   "ci_hi": null,194   "page": 11,195   "confidence": "high",196   "notes": "CBD: inverse geographical distance (anti-distance); positive sign means closer to CBD raises price"197  },198  {199   "model_id": "T9-SDM",200   "var_name_printed": "P",201   "taxonomy_id": "green_space",202   "x_transform": "other",203   "x_unit": "index",204   "beta": 0.0048,205   "se": 0.0018,206   "t": 2.61,207   "p": 0.009,208   "p_stars": "",209   "ci_lo": null,210   "ci_hi": null,211   "page": 11,212   "confidence": "high",213   "notes": "Park: inverse geographical distance (anti-distance)"214  }215 ]216}