1{2 "record_id": "1ad007ac2e8575311162da739431607dfdaeeb1b",3 "eligible": true,4 "exclusion_reason": null,5 "study": {6 "title": "The Research on Factors Influencing Housing Prices-Take Chicago as an Example",7 "year": 2025,8 "doi": "10.54254/2753-8818/2025.23756",9 "country": "United States",10 "region_city": "Chicago (as stated by the authors; see notes)",11 "sample_start": 0,12 "sample_end": 0,13 "property_type": "unknown",14 "price_type": "unknown",15 "data_source": "Unspecified dataset of 158 'samples' (variable names area, guestroom, hotwaterheating, prefarea, furnishingstatus match the public Kaggle 'Housing Prices' dataset, whose prices are in Indian rupees); sample period not stated",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": 100,25 "ai_methods": [],26 "notes": "QUALITY FLAG: student conference paper (Theoretical and Natural Science, ICMPCS 2025). Data source, period, price type and currency are not stated; the variable set is identical to the public Kaggle 'Housing Prices Dataset' (prices in INR, area in sqft), so the 'Chicago' attribution is doubtful. Abstract says 158 samples but the printed F(11,88) implies N = 100. Dependent variable: house price in levels (currency unit not stated, magnitudes in millions). Table 3 (pp. 192-193): unstandardized B, SE, standardized beta, t, p; ** p<0.01 (legend from correlation table: * p<0.05, ** p<0.01). Area unit not printed (sqft in the source dataset). Coefficients set to medium confidence because of provenance doubts, not reading problems."27 },28 "models": [29 {30 "model_id": "T3-c1",31 "table": "3",32 "column": "1",33 "page": 5,34 "dep_var": "house price (level, currency not stated)",35 "dep_transform": "level",36 "estimator": "OLS",37 "n_obs": 100,38 "r2": 0.368,39 "se_or_t_in_parentheses": "se",40 "sample_subset": "Full sample; N inferred from F(11,88) = 100 (abstract claims 158); SE, t and p in separate columns; adjusted R2 0.289"41 }42 ],43 "coefficients": [44 {45 "model_id": "T3-c1",46 "var_name_printed": "area",47 "taxonomy_id": "living_area",48 "x_transform": "level",49 "x_unit": "sqft (unit not printed; sqft in source dataset)",50 "beta": 124.558,51 "se": 65.678,52 "t": 1.897,53 "p": 0.061,54 "p_stars": "",55 "ci_lo": null,56 "ci_hi": null,57 "page": 5,58 "confidence": "medium",59 "notes": "Level-level model; currency and data provenance unverified (see study notes)"60 },61 {62 "model_id": "T3-c1",63 "var_name_printed": "bathrooms",64 "taxonomy_id": "bathrooms",65 "x_transform": "level",66 "x_unit": "count",67 "beta": 650566.462,68 "se": 230693.362,69 "t": 2.82,70 "p": 0.006,71 "p_stars": "**",72 "ci_lo": null,73 "ci_hi": null,74 "page": 5,75 "confidence": "medium",76 "notes": "Level-level model; currency and data provenance unverified (see study notes)"77 },78 {79 "model_id": "T3-c1",80 "var_name_printed": "stories",81 "taxonomy_id": "storeys",82 "x_transform": "level",83 "x_unit": "count",84 "beta": 87504.025,85 "se": 144525.352,86 "t": 0.605,87 "p": 0.546,88 "p_stars": "",89 "ci_lo": null,90 "ci_hi": null,91 "page": 5,92 "confidence": "medium",93 "notes": "Level-level model; currency and data provenance unverified (see study notes)"94 },95 {96 "model_id": "T3-c1",97 "var_name_printed": "bedrooms",98 "taxonomy_id": "bedrooms",99 "x_transform": "level",100 "x_unit": "count",101 "beta": 372422.35,102 "se": 220797.72,103 "t": 1.687,104 "p": 0.095,105 "p_stars": "",106 "ci_lo": null,107 "ci_hi": null,108 "page": 5,109 "confidence": "medium",110 "notes": "Level-level model; currency and data provenance unverified (see study notes)"111 },112 {113 "model_id": "T3-c1",114 "var_name_printed": "guestroom",115 "taxonomy_id": "other",116 "x_transform": "binary",117 "x_unit": "binary (guest room present)",118 "beta": 81401.929,119 "se": 304786.009,120 "t": 0.267,121 "p": 0.79,122 "p_stars": "",123 "ci_lo": null,124 "ci_hi": null,125 "page": 5,126 "confidence": "medium",127 "notes": "Level-level model; currency and data provenance unverified (see study notes)"128 },129 {130 "model_id": "T3-c1",131 "var_name_printed": "basement",132 "taxonomy_id": "basement",133 "x_transform": "binary",134 "x_unit": "binary",135 "beta": 403708.567,136 "se": 333873.702,137 "t": 1.209,138 "p": 0.23,139 "p_stars": "",140 "ci_lo": null,141 "ci_hi": null,142 "page": 5,143 "confidence": "medium",144 "notes": "Level-level model; currency and data provenance unverified (see study notes)"145 },146 {147 "model_id": "T3-c1",148 "var_name_printed": "hotwaterheating",149 "taxonomy_id": "heating",150 "x_transform": "binary",151 "x_unit": "binary (hot water heating)",152 "beta": 486872.335,153 "se": 510848.994,154 "t": 0.953,155 "p": 0.343,156 "p_stars": "",157 "ci_lo": null,158 "ci_hi": null,159 "page": 5,160 "confidence": "medium",161 "notes": "Level-level model; currency and data provenance unverified (see study notes)"162 },163 {164 "model_id": "T3-c1",165 "var_name_printed": "airconditioning",166 "taxonomy_id": "air_conditioning",167 "x_transform": "binary",168 "x_unit": "binary",169 "beta": 530970.1,170 "se": 339127.011,171 "t": 1.566,172 "p": 0.121,173 "p_stars": "",174 "ci_lo": null,175 "ci_hi": null,176 "page": 6,177 "confidence": "medium",178 "notes": "Level-level model; currency and data provenance unverified (see study notes)"179 },180 {181 "model_id": "T3-c1",182 "var_name_printed": "parking",183 "taxonomy_id": "parking",184 "x_transform": "level",185 "x_unit": "count (parking spaces)",186 "beta": 660661.38,187 "se": 159352.363,188 "t": 4.146,189 "p": 0.0,190 "p_stars": "**",191 "ci_lo": null,192 "ci_hi": null,193 "page": 6,194 "confidence": "medium",195 "notes": "Level-level model; currency and data provenance unverified (see study notes); p printed as 0.000 recorded as 0.0"196 },197 {198 "model_id": "T3-c1",199 "var_name_printed": "prefarea",200 "taxonomy_id": "other",201 "x_transform": "binary",202 "x_unit": "binary (located in a preferred area)",203 "beta": 434783.946,204 "se": 276309.617,205 "t": 1.574,206 "p": 0.119,207 "p_stars": "",208 "ci_lo": null,209 "ci_hi": null,210 "page": 6,211 "confidence": "medium",212 "notes": "Level-level model; currency and data provenance unverified (see study notes)"213 },214 {215 "model_id": "T3-c1",216 "var_name_printed": "furnishingstatus",217 "taxonomy_id": "other",218 "x_transform": "level",219 "x_unit": "ordinal (furnishing status category)",220 "beta": 78390.114,221 "se": 172544.131,222 "t": 0.454,223 "p": 0.651,224 "p_stars": "",225 "ci_lo": null,226 "ci_hi": null,227 "page": 6,228 "confidence": "medium",229 "notes": "Level-level model; currency and data provenance unverified (see study notes)"230 }231 ]232}