Disproportionate policy dynamics in crisis and uncertainty

An international comparative analysis of policy responses to Covid-19

Bibliographic Data

ID11194232
AuthorsSaahir Shafi (0000-0002-8779-3773, Penn State University – Harrisburg, corresponding author), Daniel J Mallinson (0000-0002-8094-6685, Penn State University – Harrisburg)
Year2023
Volume44
Issue1
Pages90-111
Publication date2023-01-02
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenuePolicy Studies (JOURNAL)
Journal identifiersISSN: 0144-2872 • E-ISSN: 1470-1006
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/01442872.2022.2053093
OpenAlexW4220981774
LanguageEN
Citations received12
References cited36

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 deaths. Our results indicate that increased income support and debt relief policies are associated with a reduction in the rate of COVID-19 deaths that lasts up to four weeks, while broad policy interventions are associated with a short-term reduction in the rate of deaths

Coronavirus disease 2019 (COVID-19 · Development economics · Econometrics · Economic growth · Economics · Government (linguistics · Health care · Pandemic · Panel data · Policy analysis · Political science · Psychological intervention · Public economics · COVID-19 epidemiological studies · COVID-19 Pandemic Impacts · Health disparities and outcomes · Medicine · Public Administration · Health Policy

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