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Threshold Ages for the Relation between Lifetime Entropy and Mortality Risk

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  • Patrick Meyer
  • Grégory Ponthiere

Abstract

We study the effect of a change in age-specific probability of death on risk about the duration of life measured by Shannon’s entropy defined to the base 2. We first show that a rise in the probability of death at age n increases lifetime entropy at age k≤n if and only if the quantity of information revealed by the event of a death at age n exceeds lifetime entropy at age n+1 divided by the probability to survive from age k to age n+1. There exist, under general conditions, two threshold ages: first, a low threshold age below which a rise in mortality risk decreases lifetime entropy, and above which it raises lifetime entropy; second, a high threshold age above which a rise in mortality risk reduces lifetime entropy. Using French life tables, we show that the gap between those two threshold ages has been increasing over the last two centuries.
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Suggested Citation

  • Patrick Meyer & Grégory Ponthiere, 2019. "Threshold Ages for the Relation between Lifetime Entropy and Mortality Risk," Erudite Working Paper 2019-18, Erudite.
  • Handle: RePEc:eru:erudwp:wp19-18
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    References listed on IDEAS

    as
    1. Patrick Meyer & Gregory Ponthiere, 2020. "Human lifetime entropy in a historical perspective (1750–2014)," Cliometrica, Journal of Historical Economics and Econometric History, Association Française de Cliométrie (AFC), vol. 14(1), pages 129-167, January.
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    6. Shripad Tuljapurkar & Ryan Edwards, 2011. "Variance in death and its implications for modeling and forecasting mortality," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 24(21), pages 497-526.
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    11. Jose Manuel Aburto & Jesús-Adrián Alvarez & Francisco Villavicencio & James W. Vaupel, 2019. "The threshold age of the lifetable entropy," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(4), pages 83-102.
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