1{2 "record_id": "309364b6d8361dba9a9e751b55ade4c452cd784b",3 "eligible": true,4 "exclusion_reason": null,5 "study": {6 "title": "The research of influence factors that possibly lead to the change in house prices",7 "year": 2023,8 "doi": "10.54254/2753-8818/14/20240926",9 "country": "India",10 "region_city": "India (city not stated)",11 "sample_start": 0,12 "sample_end": 0,13 "property_type": "unknown",14 "price_type": "listing",15 "data_source": "Kaggle Indian housing dataset ('released last month'), 910 cases, prices 780k-18,200k rupees; analysed in SPSSAU",16 "document_type": "conference",17 "estimators": [18 "OLS"19 ],20 "spatial_method": "none",21 "time_fe": false,22 "location_fe": false,23 "se_type": "OLS",24 "n_obs_total": 910,25 "ai_methods": [],26 "notes": "Student conference paper (CONF-CIAP 2023). Linear (level-level) OLS of total price on 10 attributes; table gives B, t and p (no SE). Currency scale ambiguous: text says 780-18,200 thousand rupees, Table 2 reports Amount mean 1,493.58, max 4,250, min 219 (apparently thousands of rupees after outlier removal). Sample period not stated (dataset released 2023). Several categorical variables entered as arbitrary numeric codes (facing, car parking, ownership, furnishing). Star legend: * p<0.05, ** p<0.01. Flag for human review (low quality)."27 },28 "models": [29 {30 "model_id": "T3-c1",31 "table": "3",32 "column": "1",33 "page": 6,34 "dep_var": "Amount: total price of the home (rupees; Table 2 values in thousands, mean 1,493.58)",35 "dep_transform": "level",36 "estimator": "OLS",37 "n_obs": 900,38 "r2": 0.74,39 "se_or_t_in_parentheses": "t",40 "sample_subset": "Full sample after outlier processing; N inferred from F(10,889) => 900 (text says 910 cases); adjusted R2 0.737; t and p in separate columns"41 }42 ],43 "coefficients": [44 {45 "model_id": "T3-c1",46 "var_name_printed": "x1 (Carpet area)",47 "taxonomy_id": "living_area",48 "x_transform": "level",49 "x_unit": "sqft",50 "beta": 0.085,51 "se": null,52 "t": 3.645,53 "p": 0.0,54 "p_stars": "**",55 "ci_lo": null,56 "ci_hi": null,57 "page": 6,58 "confidence": "high",59 "notes": "Usable (carpet) area in square feet"60 },61 {62 "model_id": "T3-c1",63 "var_name_printed": "x2 (Floor)",64 "taxonomy_id": "floor_level",65 "x_transform": "level",66 "x_unit": "count",67 "beta": 17.03,68 "se": null,69 "t": 3.483,70 "p": 0.001,71 "p_stars": "**",72 "ci_lo": null,73 "ci_hi": null,74 "page": 6,75 "confidence": "high",76 "notes": "Floor on which the home is located"77 },78 {79 "model_id": "T3-c1",80 "var_name_printed": "x3 (Total floors)",81 "taxonomy_id": "storeys",82 "x_transform": "level",83 "x_unit": "count",84 "beta": 29.62,85 "se": null,86 "t": 8.702,87 "p": 0.0,88 "p_stars": "**",89 "ci_lo": null,90 "ci_hi": null,91 "page": 6,92 "confidence": "high",93 "notes": "Total floors of the building"94 },95 {96 "model_id": "T3-c1",97 "var_name_printed": "x4 (Transaction)",98 "taxonomy_id": "age",99 "x_transform": "dummy",100 "x_unit": "binary (1 = new property, 0 = resale)",101 "beta": -314.184,102 "se": null,103 "t": -6.454,104 "p": 0.0,105 "p_stars": "**",106 "ci_lo": null,107 "ci_hi": null,108 "page": 6,109 "confidence": "high",110 "notes": "New-property vs resale dummy, not an age in years; mapped to age as a dummy (x_transform dummy); negative = new property cheaper"111 },112 {113 "model_id": "T3-c1",114 "var_name_printed": "x5 (Furnishing)",115 "taxonomy_id": "other",116 "x_transform": "other",117 "x_unit": "ordinal 0-2 (0 unfurnished, 1 semi-furnished, 2 furnished)",118 "beta": 353.179,119 "se": null,120 "t": 12.373,121 "p": 0.0,122 "p_stars": "**",123 "ci_lo": null,124 "ci_hi": null,125 "page": 6,126 "confidence": "high",127 "notes": "Furnishing status ordinal; taxonomy other"128 },129 {130 "model_id": "T3-c1",131 "var_name_printed": "x6 (Facing)",132 "taxonomy_id": "sunlight",133 "x_transform": "other",134 "x_unit": "nominal code 0-7 (E, W, N, S, SW, NE, NW, SE)",135 "beta": 28.751,136 "se": null,137 "t": 2.18,138 "p": 0.029,139 "p_stars": "*",140 "ci_lo": null,141 "ci_hi": null,142 "page": 6,143 "confidence": "medium",144 "notes": "Orientation entered as an arbitrary nominal code 0-7; coefficient not interpretable"145 },146 {147 "model_id": "T3-c1",148 "var_name_printed": "x7 (Bathrooms)",149 "taxonomy_id": "bathrooms",150 "x_transform": "level",151 "x_unit": "count",152 "beta": 431.747,153 "se": null,154 "t": 11.769,155 "p": 0.0,156 "p_stars": "**",157 "ci_lo": null,158 "ci_hi": null,159 "page": 6,160 "confidence": "high",161 "notes": "Number of bathrooms"162 },163 {164 "model_id": "T3-c1",165 "var_name_printed": "x8 (Balconies)",166 "taxonomy_id": "terrace_balcony",167 "x_transform": "level",168 "x_unit": "count",169 "beta": 134.352,170 "se": null,171 "t": 4.934,172 "p": 0.0,173 "p_stars": "**",174 "ci_lo": null,175 "ci_hi": null,176 "page": 6,177 "confidence": "high",178 "notes": "Number of balconies"179 },180 {181 "model_id": "T3-c1",182 "var_name_printed": "x9 (Car parking)",183 "taxonomy_id": "parking",184 "x_transform": "other",185 "x_unit": "ordinal code 0-3 (1 open, 1 covered, 2 open, 2 covered)",186 "beta": 403.357,187 "se": null,188 "t": 12.619,189 "p": 0.0,190 "p_stars": "**",191 "ci_lo": null,192 "ci_hi": null,193 "page": 6,194 "confidence": "high",195 "notes": "Car parking entered as a coded variable 0-3 mixing count and covered/open"196 },197 {198 "model_id": "T3-c1",199 "var_name_printed": "x10 (Ownership)",200 "taxonomy_id": "other",201 "x_transform": "other",202 "x_unit": "nominal code 0-3 (freehold, co-operative society, power of attorney, leasehold)",203 "beta": 73.178,204 "se": null,205 "t": 3.032,206 "p": 0.002,207 "p_stars": "**",208 "ci_lo": null,209 "ci_hi": null,210 "page": 6,211 "confidence": "medium",212 "notes": "Ownership/tenure type as nominal code; taxonomy other"213 }214 ]215}