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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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.
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).
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.
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