Robust and fragile determinants of the infection and case fatality rates of Covid-19: international cross-sectional evidence

Imad A. Moosa and Ibrahim N. Khatatbeh

Applied Economics, 2021, vol. 53, issue 11, 1225-1234

Abstract: An attempt is made to identify the factors that can explain inter-country differences in the severity of Covid-19, measured by the infection and case fatality rates. To circumvent the problem of the sensitivity of the results with respect to the selected set of explanatory variables, extreme bounds analysis (EBA) is applied to a cross-sectional sample of 154 countries. The results show that the infection and fatality rates depend on different factors, except for the number of tests, which is a robust determinant of both. An interesting result is that the infection rate depends on urban population rather than the overall population density. Another interesting result is that the fatality rate depends on the age structure of the population and population density but not on the percentage of urban population.

Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://hdl.handle.net/10.1080/00036846.2020.1827139 (text/html)
Access to full text is restricted to subscribers.

Related works:
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:taf:applec:v:53:y:2021:i:11:p:1225-1234

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20

DOI: 10.1080/00036846.2020.1827139

Access Statistics for this article

Applied Economics is currently edited by Anita Phillips

More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().