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Air quality regulations

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1 to 10 of 311 Results

Replication Data for: Causal Inference for Interfering Units With Cluster and Population Level Treatment Allocation Programs Dec 5, 2017 - Causal Inference for Interfering Units With Cluster and Population Level Treatment Allocation Programs Dataverse Papadogeorgou, Georgia, 2017, "Replication Data for: Causal Inference for Interfering Units With Cluster and Population Level Treatment Allocation Programs", https://doi.org/10.7910/DVN/1YBDV6, Harvard Dataverse, V1, UNF:6:KNnfm8wpSiM/li+qZJ/WbA== [fileUNF] This data set consists the analysis data set for the paper titled "Causal Inference for Interfering Units With Cluster and Population Level Treatment Allocation Programs". It includes key power plant covariates, area level characteristics and ambient ozone concentrations with 100 km of the power plant.
subdta.tab Dec 5, 2017 - Replication Data for: Causal Inference for Interfering Units With Cluster and Population Level Treatment Allocation Programs Tabular Data - 125.6 KB - 22 Variables, 473 Observations - UNF:6:KNnfm8wpSiM/li+qZJ/WbA== In a data.table format including variables such as the treatment (SnCR), 4th maximum ambient ozone concentrations within 100km as measured on monitoring locations (mean4maxOzone) and other covariates. For replication, download in .dat format.
Ozone, Temperature and Census Raw Data Dec 5, 2017 - Adjusting for Unmeasured Spatial Confounding with Distance Adjusted Propensity Score Matching Dataverse 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 - Adjusting for Unmeasured Spatial Confounding with Distance Adjusted Propensity Score Matching Dataverse 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 - Adjusting for Unmeasured Spatial Confounding with Distance Adjusted Propensity Score Matching Dataverse 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...
(Partial) Replication Data for: An empirical evaluation of the causal impact of NAAQS nonattainment designations on particulate pollution and health Jan 3, 2017 - Impact of National Ambient Air Quality Standards nonattainment designations on particulate pollution and health 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==

Replication Data for: Causal Inference for Interfering Units With Cluster and Population Level Treatment Allocation Programs

Dec 5, 2017 - Causal Inference for Interfering Units With Cluster and Population Level Treatment Allocation Programs Dataverse

Papadogeorgou, Georgia, 2017, "Replication Data for: Causal Inference for Interfering Units With Cluster and Population Level Treatment Allocation Programs", https://doi.org/10.7910/DVN/1YBDV6, Harvard Dataverse, V1, UNF:6:KNnfm8wpSiM/li+qZJ/WbA== [fileUNF]

This data set consists the analysis data set for the paper titled "Causal Inference for Interfering Units With Cluster and Population Level Treatment Allocation Programs". It includes key power plant covariates, area level characteristics and ambient ozone concentrations with 100 km of the power plant.

subdta.tab

Dec 5, 2017 - Replication Data for: Causal Inference for Interfering Units With Cluster and Population Level Treatment Allocation Programs

Tabular Data - 125.6 KB - 22 Variables, 473 Observations -

In a data.table format including variables such as the treatment (SnCR), 4th maximum ambient ozone concentrations within 100km as measured on monitoring locations (mean4maxOzone) and other covariates. For replication, download in .dat format.

Ozone, Temperature and Census Raw Data

Dec 5, 2017 - Adjusting for Unmeasured Spatial Confounding with Distance Adjusted Propensity Score Matching Dataverse

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 -

Ozone Temperature and Census data linked to the ozone monitoring sites. The file is in .Rdata format.

Power Plant Emissions Data

Dec 5, 2017 - Adjusting for Unmeasured Spatial Confounding with Distance Adjusted Propensity Score Matching Dataverse

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 -

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 - Adjusting for Unmeasured Spatial Confounding with Distance Adjusted Propensity Score Matching Dataverse

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 -

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...

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

Jan 3, 2017 - Impact of National Ambient Air Quality Standards nonattainment designations on particulate pollution and health

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 -

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