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1{2 "record_id": "baaee624057dd67c85185a4177e6d00e5b13c4a2",3 "eligible": true,4 "exclusion_reason": null,5 "study": {6  "title": "The Hedonic Pricing Model Applied to the Housing Market",7  "year": 2020,8  "doi": "10.35808/ijeba/526",9  "country": "Vietnam",10  "region_city": "Ho Chi Minh City and Ha Noi",11  "sample_start": 2019,12  "sample_end": 2019,13  "property_type": "single_family",14  "price_type": "transaction",15  "data_source": "Author survey of 205 houses in housing projects successfully traded in Ho Chi Minh City and Ha Noi in the first six months of 2019",16  "document_type": "journal",17  "estimators": [18   "OLS"19  ],20  "spatial_method": "none",21  "time_fe": false,22  "location_fe": false,23  "se_type": "robust",24  "n_obs_total": 205,25  "ai_methods": [],26  "notes": "Dependent variable PRICE = house price per square metre (currency unit not stated; constant 17.093 suggests million VND per m2) in levels. Single OLS model with White heteroskedasticity-robust statistics (Table 4, p.8): coefficients and p-values only (no SE or t printed; se recorded null, p recorded). Stars: ** 5%, *** 1%. Property type: houses in housing projects (garden dummy, pool) -- treated as single_family. City dummy not included."27 },28 "models": [29  {30   "model_id": "T4-c1",31   "table": "4",32   "column": "1",33   "page": 8,34   "dep_var": "house price per square metre (PRICE)",35   "dep_transform": "per_m2",36   "estimator": "OLS",37   "n_obs": 205,38   "r2": 0.8559,39   "se_or_t_in_parentheses": "p",40   "sample_subset": "All 205 surveyed houses; OLS with White-robust inference; F(8,196)=276.08"41  }42 ],43 "coefficients": [44  {45   "model_id": "T4-c1",46   "var_name_printed": "SIZE",47   "taxonomy_id": "living_area",48   "x_transform": "level",49   "x_unit": "m2",50   "beta": 0.001,51   "se": null,52   "t": null,53   "p": 0.023,54   "p_stars": "**",55   "ci_lo": null,56   "ci_hi": null,57   "page": 8,58   "confidence": "high",59   "notes": "House size in square metres; p-value column P>|z|; no SE printed"60  },61  {62   "model_id": "T4-c1",63   "var_name_printed": "BEDROOMS",64   "taxonomy_id": "bedrooms",65   "x_transform": "level",66   "x_unit": "count",67   "beta": 0.065,68   "se": null,69   "t": null,70   "p": 0.0,71   "p_stars": "***",72   "ci_lo": null,73   "ci_hi": null,74   "page": 8,75   "confidence": "high",76   "notes": "Number of bedrooms; p-value column P>|z|; no SE printed"77  },78  {79   "model_id": "T4-c1",80   "var_name_printed": "BATHROOMS",81   "taxonomy_id": "bathrooms",82   "x_transform": "level",83   "x_unit": "count",84   "beta": 0.003,85   "se": null,86   "t": null,87   "p": 0.64,88   "p_stars": "",89   "ci_lo": null,90   "ci_hi": null,91   "page": 8,92   "confidence": "high",93   "notes": "Number of bathrooms; p-value column P>|z|; no SE printed"94  },95  {96   "model_id": "T4-c1",97   "var_name_printed": "CENTER",98   "taxonomy_id": "cbd_distance",99   "x_transform": "level",100   "x_unit": "km",101   "beta": -0.02,102   "se": null,103   "t": null,104   "p": 0.0,105   "p_stars": "***",106   "ci_lo": null,107   "ci_hi": null,108   "page": 8,109   "confidence": "high",110   "notes": "Distance to the city centre in kilometres; p-value column P>|z|; no SE printed"111  },112  {113   "model_id": "T4-c1",114   "var_name_printed": "TYPE",115   "taxonomy_id": "garden",116   "x_transform": "dummy",117   "x_unit": "binary",118   "beta": 0.048,119   "se": null,120   "t": null,121   "p": 0.036,122   "p_stars": "**",123   "ci_lo": null,124   "ci_hi": null,125   "page": 8,126   "confidence": "high",127   "notes": "1 if the house has a garden; p-value column P>|z|; no SE printed"128  },129  {130   "model_id": "T4-c1",131   "var_name_printed": "POOL",132   "taxonomy_id": "pool",133   "x_transform": "dummy",134   "x_unit": "binary",135   "beta": 0.002,136   "se": null,137   "t": null,138   "p": 0.709,139   "p_stars": "",140   "ci_lo": null,141   "ci_hi": null,142   "page": 8,143   "confidence": "high",144   "notes": "1 if the house has amenities such as a hot-tub and/or swimming pool; p-value column P>|z|; no SE printed"145  },146  {147   "model_id": "T4-c1",148   "var_name_printed": "PARK",149   "taxonomy_id": "neighbourhood_amenities",150   "x_transform": "dummy",151   "x_unit": "binary",152   "beta": 0.187,153   "se": null,154   "t": null,155   "p": 0.0,156   "p_stars": "***",157   "ci_lo": null,158   "ci_hi": null,159   "page": 8,160   "confidence": "high",161   "notes": "1 if local amenities (parks, squares, schools or shopping malls) nearby; p-value column P>|z|; no SE printed"162  },163  {164   "model_id": "T4-c1",165   "var_name_printed": "STRUCTURE",166   "taxonomy_id": "condition",167   "x_transform": "dummy",168   "x_unit": "binary",169   "beta": 0.05,170   "se": null,171   "t": null,172   "p": 0.0,173   "p_stars": "***",174   "ci_lo": null,175   "ci_hi": null,176   "page": 8,177   "confidence": "high",178   "notes": "1 if the structure is new and modern; p-value column P>|z|; no SE printed"179  }180 ]181}