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Longevity forecasting by socio‐economic groups using compositional data analysis

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  • S⊘ren Kjærgaard
  • Yunus Emre Ergemen
  • Marie‐Pier Bergeron‐Boucher
  • Jim Oeppen
  • Malene Kallestrup‐Lamb

Abstract

Several Organisation for Economic Co‐operation and Development countries have recently implemented an automatic link between the statutory retirement age and life expectancy for the total population to ensure sustainability in their pension systems due to increasing life expectancy. As significant mortality differentials are observed across socio‐economic groups, future changes in these differentials will determine whether some socio‐economic groups drive increases in the retirement age, leaving other groups with fewer pensionable years. We forecast life expectancy by socio‐economic groups and compare the forecast performance of competing models by using Danish mortality data and find that the most accurate model assumes a common mortality trend. Life expectancy forecasts are used to analyse the consequences of a pension system where the statutory retirement age is increased when total life expectancy is increasing.

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  • S⊘ren Kjærgaard & Yunus Emre Ergemen & Marie‐Pier Bergeron‐Boucher & Jim Oeppen & Malene Kallestrup‐Lamb, 2020. "Longevity forecasting by socio‐economic groups using compositional data analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 1167-1187, June.
    • Handle: RePEc:bla:jorssa:v:183:y:2020:i:3:p:1167-1187
    DOI: 10.1111/rssa.12555
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    References listed on IDEAS

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    2. Malene Kallestrup‐Lamb & Søren Kjærgaard & Carsten P. T. Rosenskjold, 2020. "Insight into stagnating adult life expectancy: Analyzing cause of death patterns across socioeconomic groups," Health Economics, John Wiley & Sons, Ltd., vol. 29(12), pages 1728-1743, December.

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