Replication Data for: Disproportionate Policy Dynamics in Crisis and Uncertainty: An International Comparative Analysis of Policy Responses to COVID-19
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Differences in policy responses have enabled some nations to successfully mitigate COVID-19 cases and deaths while others continue to struggle. In their efforts to contain the virus, nations have pursued disparate policy responses with policy stringency ranging from policy over-reactions to under-reactions. As nations look towards recovery, a retroactive evaluation of the relationship between policy responses and outcomes can provide much-needed insight on disparities in pandemic-related outcomes. Using time series data for 2020, we employ pooled panel linear regression to analyze the relationship between policy choices and COVID-19 outcomes. This study uses stringency measures of government policy responses across three dimensions—containment, economic, and health policies—to assess the impact of these policies on COVID-19 cases and de' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Comparative analysis","COVID-19","Disproportionate policy","Health policy"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Differences in policy responses have enabled some nations to successfully mitigate COVID-19 cases and deaths while others continue to struggle. In their efforts to contain the virus, nations have pursued disparate policy responses with policy stringency ranging from policy over-reactions to under-reactions. As nations look towards recovery, a retroactive evaluation of the relationship between policy responses and outcomes can provide much-needed insight on disparities in pandemic-related outcomes. Using time series data for 2020, we employ pooled panel linear regression to analyze the relationship between policy choices and COVID-19 outcomes. This study uses stringency measures of government policy responses across three dimensions—containment, economic, and health policies—to assess the impact of these policies on COVID-19 cases and de' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Differences in policy responses have enabled some nations to successfully mitigate COVID-19 cases and deaths while others continue to struggle. In their efforts to contain the virus, nations have pursued disparate policy responses with policy stringency ranging from policy over-reactions to under-reactions. As nations look towards recovery, a retroactive evaluation of the relationship between policy responses and outcomes can provide much-needed insight on disparities in pandemic-related outcomes. Using time series data for 2020, we employ pooled panel linear regression to analyze the relationship between policy choices and COVID-19 outcomes. This study uses stringency measures of government policy responses across three dimensions—containment, economic, and health policies—to assess the impact of these policies on COVID-19 cases and de
Comparative analysis; COVID-19; Disproportionate policy; Health policy