This dataverse contains the data for the paper Adjusting for Unmeasured Spatial Confounding with Distance Adjusted Propensity Score Matching, by Papadogeorgou, Choirat, and Zigler. The current version of the paper is available at: https://arxiv.org/pdf/1610.07583.pdf The code to recreate the replication data set from the data sets on power plant emissions, ozone and temperature information can be found at https://github.com/gpapadog/DAPSm-Analysis. The analysis can be replicated from code in the same Github repository and the DAPSm R package found at https://github.com/gpapadog/DAPSm.
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1 to 6 of 6 Results
Ozone, Temperature and Census Raw Data
Dec 5, 2017
Papadogeorgou, Georgia, 2016, "Ozone, Temperature and Census Raw Data", https://doi.org/10.7910/DVN/LKUDHA, Harvard Dataverse, V3, UNF:6:2LFuJrfGBsxsLBRb26umeg== [fileUNF]
This is the raw data file for ozone, and temperature derived from the EPA Air Quality System, and data from Census 2000.
OzTempCen678_04.tab
Dec 5, 2017 - Ozone, Temperature and Census Raw Data
Tabular Data - 378.0 KB - 31 Variables, 958 Observations - UNF:6:2LFuJrfGBsxsLBRb26umeg==
Ozone Temperature and Census data linked to the ozone monitoring sites. The file is in .Rdata format.
Power Plant Emissions Data
Dec 5, 2017
Papadogeorgou, Georgia, 2016, "Power Plant Emissions Data", https://doi.org/10.7910/DVN/M3D2NR, Harvard Dataverse, V2, UNF:6:P//YH0SkeKRgT1CdbNSgvw== [fileUNF]
This data set contains data on emissions (and other characteristics) at the level of Electricity Generating Unit (EGU). These data were derived from the EPA Air Markets Program Data (AMPD).
AMPD_Unit_with_Sulfur_Content_and_Regulations_with_Facility_Attributes.csv
Dec 5, 2017 - Power Plant Emissions Data
Comma Separated Values - 765.7 MB - MD5: b119b71989e3a665f9a9e8eb216276e6
This data set contains data on emissions (and other characteristics) at the level of Electricity Generating Unit (EGU). These data were derived from the EPA Air Markets Program Data (AMPD).
Replication Data for: Adjusting for Unmeasured Spatial Confounding with Distance Adjusted Propensity Score Matching
Dec 5, 2017
Papadogeorgou, Georgia, 2016, "Replication Data for: Adjusting for Unmeasured Spatial Confounding with Distance Adjusted Propensity Score Matching", https://doi.org/10.7910/DVN/DKXXSN, Harvard Dataverse, V2, UNF:6:s1ohKMuxPzF0XetwktZzdw== [fileUNF]
This data set consists the analysis data set for the paper titled "Adjusting for Unmeasured Spatial Confounding with Distance Adjusted Propensity Score Matching". It includes key power plant covariates and area level characteristics. Power plants are linked to ozone and temperature information.
analysis_dat.tab
Dec 5, 2017 - Replication Data for: Adjusting for Unmeasured Spatial Confounding with Distance Adjusted Propensity Score Matching
Tabular Data - 128.9 KB - 23 Variables, 473 Observations - UNF:6:s1ohKMuxPzF0XetwktZzdw==
Data
This data set corresponds to the analysis_dat data constructed in the data analysis script. It is in a data.table format and it includes variables such as the treatment (SnCR), total number of NOx emissions (totNOxemissions), 4th maximum ambient ozone concentrations within 100km as measured on monitoring locations (mean4maxOzone) and other covariat...
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