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• W4378673990 startingPage "e00315" @default.
• W4378673990 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." @default.
• W4378673990 created "2023-05-30" @default.
• W4378673990 creator A5005656285 @default.
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• W4378673990 date "2023-11-01" @default.
• W4378673990 modified "2023-10-17" @default.
• W4378673990 title "Dying together: A convergence analysis of fatalities during COVID-19" @default.
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• W4378673990 doi "https://doi.org/10.1016/j.jeca.2023.e00315" @default.
• W4378673990 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37389328" @default.
• W4378673990 hasPublicationYear "2023" @default.
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