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1{2 "record_id": "6c0fa6707be0f8c5edd0d4088f7dfb356412099f",3 "eligible": true,4 "exclusion_reason": null,5 "study": {6  "title": "The demand for air quality: evidence from the housing market in Bogota, Colombia",7  "year": 2018,8  "doi": "10.1017/s1355770x18000050",9  "country": "Colombia",10  "region_city": "Bogota D.C.",11  "sample_start": 2011,12  "sample_end": 2011,13  "property_type": "mixed",14  "price_type": "rent",15  "data_source": "Encuesta Multiproposito de Bogota (EMB) 2011 household survey (reported rent for renters, self-assessed hypothetical rent for owners) + RMCAB PM10 monitoring (VNA interpolation) + cadastral and police crime data",16  "document_type": "journal",17  "estimators": [18   "other"19  ],20  "spatial_method": "locality (spatial) fixed effects; frontier model with heteroskedastic error (sigma2_mu function of PM10, strata, strata*PM10, spatial FE)",21  "time_fe": false,22  "location_fe": true,23  "se_type": "unknown",24  "n_obs_total": 6061,25  "ai_methods": [],26  "notes": "First-stage hedonic rent function, semi-log (log-lin). Table 1 prints only the PM10 coefficient per submarket; structural, security, distance, cadastral, owner-bias and other-pollutant coefficients are in an online appendix (table A5) not included in the PDF. Printed standard errors under the PM10 coefficients are rounded to '0', '0', '-0.01', '-0.01' and are unusable, so se recorded as null (stars kept). Estimation uses a stochastic frontier / heteroskedastic specification (section 3, eq. 4) rather than plain OLS. Text reports ranges only for rooms (+2.97 to +6.98% per room), bathrooms (+12.29 to +16.23%), homicides per block (-0.67 to -9.95%), not extracted. Stars: *p<0.1, **p<0.05, ***p<0.01. Table 2 (second-stage demand, 2SLS) not extracted."27 },28 "models": [29  {30   "model_id": "T1-c1",31   "table": "1",32   "column": "1",33   "page": 12,34   "dep_var": "log monthly rent (reported or hypothetical imputed rent, COP/month)",35   "dep_transform": "log",36   "estimator": "other",37   "n_obs": 6061,38   "r2": null,39   "se_or_t_in_parentheses": "se",40   "sample_subset": "All dwelling types; includes structural, security, cadastral, distance, owner-bias, other pollutants (CO, SO2, O3) and locality fixed effects; frontier model with heteroskedastic variance"41  },42  {43   "model_id": "T1-c2",44   "table": "1",45   "column": "2",46   "page": 12,47   "dep_var": "log monthly rent (reported or hypothetical imputed rent, COP/month)",48   "dep_transform": "log",49   "estimator": "other",50   "n_obs": 4153,51   "r2": null,52   "se_or_t_in_parentheses": "se",53   "sample_subset": "Apartments submarket; includes structural, security, cadastral, distance, owner-bias, other pollutants (CO, SO2, O3) and locality fixed effects; frontier model with heteroskedastic variance"54  },55  {56   "model_id": "T1-c3",57   "table": "1",58   "column": "3",59   "page": 12,60   "dep_var": "log monthly rent (reported or hypothetical imputed rent, COP/month)",61   "dep_transform": "log",62   "estimator": "other",63   "n_obs": 319,64   "r2": null,65   "se_or_t_in_parentheses": "se",66   "sample_subset": "Condominiums submarket; includes structural, security, cadastral, distance, owner-bias, other pollutants (CO, SO2, O3) and locality fixed effects; frontier model with heteroskedastic variance"67  },68  {69   "model_id": "T1-c4",70   "table": "1",71   "column": "4",72   "page": 12,73   "dep_var": "log monthly rent (reported or hypothetical imputed rent, COP/month)",74   "dep_transform": "log",75   "estimator": "other",76   "n_obs": 1562,77   "r2": null,78   "se_or_t_in_parentheses": "se",79   "sample_subset": "Houses submarket; includes structural, security, cadastral, distance, owner-bias, other pollutants (CO, SO2, O3) and locality fixed effects; frontier model with heteroskedastic variance"80  }81 ],82 "coefficients": [83  {84   "model_id": "T1-c1",85   "var_name_printed": "PM10",86   "taxonomy_id": "air_pollution",87   "x_transform": "level",88   "x_unit": "ug/m3",89   "beta": -0.015372,90   "se": null,91   "t": null,92   "p": null,93   "p_stars": "***",94   "ci_lo": null,95   "ci_hi": null,96   "page": 12,97   "confidence": "medium",98   "notes": "Annual mean PM10 concentration (VNA interpolation, 2011). Printed SE in parentheses is rounded to '0' and unusable; stars only."99  },100  {101   "model_id": "T1-c2",102   "var_name_printed": "PM10",103   "taxonomy_id": "air_pollution",104   "x_transform": "level",105   "x_unit": "ug/m3",106   "beta": -0.0061217,107   "se": null,108   "t": null,109   "p": null,110   "p_stars": "**",111   "ci_lo": null,112   "ci_hi": null,113   "page": 12,114   "confidence": "medium",115   "notes": "Annual mean PM10 concentration (VNA interpolation, 2011). Printed SE in parentheses is rounded to '0' and unusable; stars only."116  },117  {118   "model_id": "T1-c3",119   "var_name_printed": "PM10",120   "taxonomy_id": "air_pollution",121   "x_transform": "level",122   "x_unit": "ug/m3",123   "beta": -0.024382,124   "se": null,125   "t": null,126   "p": null,127   "p_stars": "*",128   "ci_lo": null,129   "ci_hi": null,130   "page": 12,131   "confidence": "medium",132   "notes": "Annual mean PM10 concentration (VNA interpolation, 2011). Printed SE in parentheses is rounded to '-0.01' and unusable; stars only."133  },134  {135   "model_id": "T1-c4",136   "var_name_printed": "PM10",137   "taxonomy_id": "air_pollution",138   "x_transform": "level",139   "x_unit": "ug/m3",140   "beta": -0.021776,141   "se": null,142   "t": null,143   "p": null,144   "p_stars": "***",145   "ci_lo": null,146   "ci_hi": null,147   "page": 12,148   "confidence": "medium",149   "notes": "Annual mean PM10 concentration (VNA interpolation, 2011). Printed SE in parentheses is rounded to '-0.01' and unusable; stars only."150  }151 ]152}