Covid-19 Related Excess Mortality: An Analysis by Age for Selected Countries

David (David Patrick) Madden

No 202526, Working Papers from School of Economics, University College Dublin

Abstract: This paper analyses excess mortality data for a selection of countries during the Covid period of 2020-2022 using the Short Term Mortality Fluctuations dataset. Adjustments are made to apply a standardised age distribution on the data to obtain age-adjusted excess mortality and this is compared to crude excess mortality data. The adjustment makes a significant difference for some countries but the overall ranking of countries in terms of excess mortality changes very little. This is also the case when years of lost life is used as the mortality metric. The excess mortality data is then correlated with GDP per capita and the Gini coefficient. Excess mortality is negatively correlated with GDP per capita for values of GDP per capita below the median. There is no statistically significant relationship with the Gini coefficient. Cluster analysis suggests distinct clusterings of countries with similar outcomes, particularly the former planned economies of central and eastern Europe.

Keywords: Age specific mortality; Years of life lost; Hierarchical cluster analysis (search for similar items in EconPapers)
JEL-codes: I10 I18 J11 (search for similar items in EconPapers)
Pages: 34 pages
Date: 2025-11
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10197/31897 First version, 2025 (application/pdf)
Our link check indicates that this URL is bad, the error code is: 405 Not Allowed (http://hdl.handle.net/10197/31897 [302 Found]--> https://researchrepository.ucd.ie/handle/10197/31897)

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:ucn:wpaper:202526

Access Statistics for this paper

More papers in Working Papers from School of Economics, University College Dublin Contact information at EDIRC.
Bibliographic data for series maintained by UCD School of Economics ().