Accounting for Global COVID-19 Diffusion Patterns, January–April 2020
Yothin Jinjarak,
Rashad Ahmed (),
Sameer Nair-Desai (),
Weining Xin () and
Joshua Aizenman
Additional contact information
Rashad Ahmed: Economics, University of Southern California
Sameer Nair-Desai: University of Southern California
Weining Xin: Economics, University of Southern California
Economics of Disasters and Climate Change, 2020, vol. 4, issue 3, No 6, 515-559
Abstract:
Abstract Key factors in modeling a pandemic and guiding policy-making include mortality rates associated with infections; the ability of government policies, medical systems, and society to adapt to the changing dynamics of a pandemic; and institutional and demographic characteristics affecting citizens’ perceptions and behavioral responses to stringent policies. This paper traces the cross-country associations between COVID-19 mortality, policy interventions aimed at limiting social contact, and their interactions with institutional and demographic characteristics. We document that, with a lag, more stringent pandemic policies were associated with lower mortality growth rates. The association between stricter pandemic policies and lower future mortality growth is more pronounced in countries with a greater proportion of the elderly population and urban population, greater democratic freedoms, and larger international travel flows. Countries with greater policy stringency in place prior to the first death realized lower peak mortality rates and exhibited lower durations to the first mortality peak. In contrast, countries with higher initial mobility saw higher peak mortality rates in the first phase of the pandemic, and countries with a larger elderly population, a greater share of employees in vulnerable occupations, and a higher level of democracy took longer to reach their peak mortalities. Our results suggest that policy interventions are effective at slowing the geometric pattern of mortality growth, reducing the peak mortality, and shortening the duration to the first peak. We also shed light on the importance of institutional and demographic characteristics in guiding policy-making for future waves of the pandemic.
Keywords: Pandemic; Covid-19; Lock-down; Government intervention; Policy stringency; Flattening the mortality curve; Socioeconomic indicators; Cross-country estimates (search for similar items in EconPapers)
JEL-codes: F I (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)
Downloads: (external link)
http://link.springer.com/10.1007/s41885-020-00071-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
Working Paper: Accounting for Global COVID-19 Diffusion Patterns, January-April 2020 (2020) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:ediscc:v:4:y:2020:i:3:d:10.1007_s41885-020-00071-2
Ordering information: This journal article can be ordered from
https://www.springer ... mental/journal/41885
DOI: 10.1007/s41885-020-00071-2
Access Statistics for this article
Economics of Disasters and Climate Change is currently edited by Ilan Noy and Shunsuke Managi
More articles in Economics of Disasters and Climate Change from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().