Impact of National Ambient Air Quality Standards nonattainment designations on particulate pollution and health

This dataverse contains data files used for the paper: Impact of National Ambient Air Quality Standards nonattainment designations on particulate pollution and health by Zigler, Choirat, and Dominici, to appear in Epidemiology R scripts to use these data files to create analysis data sets and implement the analysis of the paper are located at:

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1 to 10 of 13 Results

(Partial) Replication Data for: An empirical evaluation of the causal impact of NAAQS nonattainment designations on particulate pollution and health Jan 3, 2017 Zigler, Cory, 2017, "(Partial) Replication Data for: An empirical evaluation of the causal impact of NAAQS nonattainment designations on particulate pollution and health", https://doi.org/10.7910/DVN/ZAYLFA, Harvard Dataverse, V1, UNF:6:w5afM9qjNg6BGRlSwQ+LNw== [fileUNF] This is the analysis data file used for the paper, complete with propensity score estimates but with all Medicare variables set to zero. This file can be used to reconstruct basic data summaries reported in the paper.
pm_withps_nomed.tab Jan 3, 2017 - (Partial) Replication Data for: An empirical evaluation of the causal impact of NAAQS nonattainment designations on particulate pollution and health Tabular Data - 862.7 KB - 200 Variables, 829 Observations - UNF:6:w5afM9qjNg6BGRlSwQ+LNw==
County-Level Smoking Data Jan 3, 2017 Zigler, Cory, 2017, "County-Level Smoking Data", https://doi.org/10.7910/DVN/VZ21KD, Harvard Dataverse, V1, UNF:6:L7kVxoDhAmjyTwP0BzYVkQ== [fileUNF] County-level smoking data originating from the CDC and produced by Dwyer-Lindgren, Laura and Mokdad, Ali H. and Srebotnjak, Tanja and Flaxman, Abraham D. and Hansen, Gillian M. and Murray, Christopher JL— (2014), “Cigarette smoking prevalence in US counties: 1996-2012,” Population Health Metrics, 12, 5. Original file provided by the above authors a...
smokedatwithfips.tab Jan 3, 2017 - County-Level Smoking Data Tabular Data - 186.8 KB - 6 Variables, 3110 Observations - UNF:6:L7kVxoDhAmjyTwP0BzYVkQ== County-level smoking rates
Census data Jan 3, 2017 Zigler, Cory, 2017, "Census data", https://doi.org/10.7910/DVN/9FS3KI, Harvard Dataverse, V1, UNF:6:CQGKEdSV70TgEQuT1/9N5A== [fileUNF] Census data (year 2000) at the zip code level, originating from the US Census and extracted using the Missouri Census Data Center (http://mcdc.missouri.edu/).
subset_census_2000_with_zip_and_percentage.tab Jan 3, 2017 - Census data Tabular Data - 12.2 MB - 39 Variables, 41240 Observations - UNF:6:CQGKEdSV70TgEQuT1/9N5A==
Weather monitoring data Jan 3, 2017 Zigler, Cory, 2017, "Weather monitoring data", https://doi.org/10.7910/DVN/N0SFKO, Harvard Dataverse, V1, UNF:6:JFbkDKSoX4tQ9JKsjL625A== [fileUNF] Data from weather monitors in the Automated Surface Observing System, originally provided by the National Oceanic and Atmospheric Administration and available at: http://www.nws.noaa.gov/asos/
Monitor_ASOS.tab Jan 3, 2017 - Weather monitoring data Tabular Data - 4.9 MB - 13 Variables, 34846 Observations - UNF:6:JFbkDKSoX4tQ9JKsjL625A==
Fake (simulated) Medicare Data Jan 3, 2017 Zigler, Cory, 2017, "Fake (simulated) Medicare Data", https://doi.org/10.7910/DVN/PR35NS, Harvard Dataverse, V1, UNF:6:94xH7xkCvbvDtLWuPW/t8A== [fileUNF] This file is of the same format of zip-code-level annual Medicare data used for the analysis, but all variables have been simulated to contain fake data. This data file can be used to reconstruct the analog to the analysis data set (but with fake Medicare data)
FakeMedicare.tab Jan 3, 2017 - Fake (simulated) Medicare Data Tabular Data - 378.4 MB - 14 Variables, 3973550 Observations - UNF:6:94xH7xkCvbvDtLWuPW/t8A==

(Partial) Replication Data for: An empirical evaluation of the causal impact of NAAQS nonattainment designations on particulate pollution and health

Jan 3, 2017

Zigler, Cory, 2017, "(Partial) Replication Data for: An empirical evaluation of the causal impact of NAAQS nonattainment designations on particulate pollution and health", https://doi.org/10.7910/DVN/ZAYLFA, Harvard Dataverse, V1, UNF:6:w5afM9qjNg6BGRlSwQ+LNw== [fileUNF]

This is the analysis data file used for the paper, complete with propensity score estimates but with all Medicare variables set to zero. This file can be used to reconstruct basic data summaries reported in the paper.

pm_withps_nomed.tab

Jan 3, 2017 - (Partial) Replication Data for: An empirical evaluation of the causal impact of NAAQS nonattainment designations on particulate pollution and health

Tabular Data - 862.7 KB - 200 Variables, 829 Observations -

County-Level Smoking Data

Jan 3, 2017

Zigler, Cory, 2017, "County-Level Smoking Data", https://doi.org/10.7910/DVN/VZ21KD, Harvard Dataverse, V1, UNF:6:L7kVxoDhAmjyTwP0BzYVkQ== [fileUNF]

County-level smoking data originating from the CDC and produced by Dwyer-Lindgren, Laura and Mokdad, Ali H. and Srebotnjak, Tanja and Flaxman, Abraham D. and Hansen, Gillian M. and Murray, Christopher JL— (2014), “Cigarette smoking prevalence in US counties: 1996-2012,” Population Health Metrics, 12, 5. Original file provided by the above authors a...

smokedatwithfips.tab

Jan 3, 2017 - County-Level Smoking Data

Tabular Data - 186.8 KB - 6 Variables, 3110 Observations -

County-level smoking rates

Census data

Jan 3, 2017

Zigler, Cory, 2017, "Census data", https://doi.org/10.7910/DVN/9FS3KI, Harvard Dataverse, V1, UNF:6:CQGKEdSV70TgEQuT1/9N5A== [fileUNF]

Census data (year 2000) at the zip code level, originating from the US Census and extracted using the Missouri Census Data Center (http://mcdc.missouri.edu/).

subset_census_2000_with_zip_and_percentage.tab

Jan 3, 2017 - Census data

Tabular Data - 12.2 MB - 39 Variables, 41240 Observations -

Weather monitoring data

Jan 3, 2017

Zigler, Cory, 2017, "Weather monitoring data", https://doi.org/10.7910/DVN/N0SFKO, Harvard Dataverse, V1, UNF:6:JFbkDKSoX4tQ9JKsjL625A== [fileUNF]

Data from weather monitors in the Automated Surface Observing System, originally provided by the National Oceanic and Atmospheric Administration and available at: http://www.nws.noaa.gov/asos/

Monitor_ASOS.tab

Jan 3, 2017 - Weather monitoring data

Tabular Data - 4.9 MB - 13 Variables, 34846 Observations -

Fake (simulated) Medicare Data

Jan 3, 2017

Zigler, Cory, 2017, "Fake (simulated) Medicare Data", https://doi.org/10.7910/DVN/PR35NS, Harvard Dataverse, V1, UNF:6:94xH7xkCvbvDtLWuPW/t8A== [fileUNF]

This file is of the same format of zip-code-level annual Medicare data used for the analysis, but all variables have been simulated to contain fake data. This data file can be used to reconstruct the analog to the analysis data set (but with fake Medicare data)

FakeMedicare.tab

Jan 3, 2017 - Fake (simulated) Medicare Data

Tabular Data - 378.4 MB - 14 Variables, 3973550 Observations -

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