Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/337168 
Authors: 
Year of Publication: 
2025
Series/Report no.: 
UCD Centre for Economic Research Working Paper Series No. WP25/26
Publisher: 
University College Dublin, UCD School of Economics, 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.
Subjects: 
Age specific mortality
years of life lost
hierarchical cluster analysis
JEL: 
I10
I18
J11
Document Type: 
Working Paper

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