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Cause-of-death mortality: What can be learned from population dynamics?

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  • Boumezoued, Alexandre
  • Hardy, Héloïse Labit
  • El Karoui, Nicole
  • Arnold, Séverine

Abstract

This paper analyses cause-of-death mortality changes and its impacts on the whole population evolution. The study combines cause-of-death analysis and population dynamics techniques. Our aim is to measure the impact of cause-of-death reduction on the whole population age structure, and more specifically on the dependency ratio which is a crucial quantity for pay-as-you-go pension systems. Although previous studies on causes of death focused on mortality indicators such as survival curves or life expectancy, our approach provides additional information by including birth patterns. As an important conclusion, our numerical results based on French data show that populations with identical life expectancies can present important differences in their age pyramid resulting from different cause-specific mortality reductions. Sensitivities to fertility level and population flows are also given.

Suggested Citation

  • Boumezoued, Alexandre & Hardy, Héloïse Labit & El Karoui, Nicole & Arnold, Séverine, 2018. "Cause-of-death mortality: What can be learned from population dynamics?," Insurance: Mathematics and Economics, Elsevier, vol. 78(C), pages 301-315.
    • Handle: RePEc:eee:insuma:v:78:y:2018:i:c:p:301-315
    DOI: 10.1016/j.insmatheco.2017.09.015
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    References listed on IDEAS

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    1. Séverine Arnold (-Gaille) & Michael Sherris, 2015. "Causes-of-Death Mortality: What Do We Know on Their Dependence?," North American Actuarial Journal, Taylor & Francis Journals, vol. 19(2), pages 116-128, April.
    2. Heinrich Hock & David Weil, 2012. "On the dynamics of the age structure, dependency, and consumption," Journal of Population Economics, Springer;European Society for Population Economics, vol. 25(3), pages 1019-1043, July.
    3. Dimitrova, Dimitrina S. & Haberman, Steven & Kaishev, Vladimir K., 2013. "Dependent competing risks: Cause elimination and its impact on survival," Insurance: Mathematics and Economics, Elsevier, vol. 53(2), pages 464-477.
    4. Alai, Daniel H. & Arnold (-Gaille), Séverine & Sherris, Michael, 2015. "Modelling cause-of-death mortality and the impact of cause-elimination," Annals of Actuarial Science, Cambridge University Press, vol. 9(1), pages 167-186, March.
    5. Christophe Guilmoto, 2012. "Skewed Sex Ratios at Birth and Future Marriage Squeeze in China and India, 2005–2100," Demography, Springer;Population Association of America (PAA), vol. 49(1), pages 77-100, February.
    6. Jinjing Li & Cathal O'Donoghue, 2013. "A survey of dynamic microsimulation models: uses, model structure and methodology," International Journal of Microsimulation, International Microsimulation Association, vol. 6(2), pages 3-55.
    7. Wang, Frank J. S., 1977. "A central limit theorem for age- and density-dependent population processes," Stochastic Processes and their Applications, Elsevier, vol. 5(2), pages 173-193, May.
    8. Robert Schoen, 1983. "Measuring the tightness of a marriage squeeze," Demography, Springer;Population Association of America (PAA), vol. 20(1), pages 61-78, February.
    9. Hyndman, Rob J. & Booth, Heather, 2008. "Stochastic population forecasts using functional data models for mortality, fertility and migration," International Journal of Forecasting, Elsevier, vol. 24(3), pages 323-342.
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    Cited by:

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