 Dying together: A convergence analysis of fatalities during COVID-19Theodore Panagiotidis, Georgios Papapanagiotou and Thanasis Stengos The Journal of Economic Asymmetries, 2023, vol. 28, issue C Abstract: Governments implemented countermeasures to mitigate the spread of the COVID-19 virus. This had a severe effect on the economy. We examine convergence patterns in the evolution of COVID-19 deaths across countries. We aim to investigate whether countries that implemented different measures managed to limit the number of COVID-19 deaths. We extend the most recent macro-growth convergence methodology to examine convergence of COVID-19 deaths. We combine a long memory stationarity framework with the maximal clique algorithm. This provides a rich and flexible club formation strategy that goes beyond the stationary/non stationary approach adopted in the previous literature. Our results suggest that strict measures (even belated) or an aggressive vaccination scheme can confine the spread of the disease while maintaining the strictness of the measures steady can lead to a burst of the virus. Finally, we observe that fiscal measures did not have an effect on the containment of the virus. Keywords: Convergence; Convergence clubs; Maximal clique algorithm; Long memory; Pair-wise approach; COVID-19 (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:joecas:v:28:y:2023:i:c:s1703494923000270 DOI: 10.1016/j.jeca.2023.e00315 Access Statistics for this article The Journal of Economic Asymmetries is currently edited by A.G. Malliaris More articles in The Journal of Economic Asymmetries from Elsevier |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.