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How life expectancy varies with perturbations in age-specific mortality

Author

Listed:
  • Tomasz Wrycza

    (Max-Planck-Institut für Demografische Forschung)

  • Annette Baudisch

    (Syddansk Universitet)

Abstract

Background: A naturally arising question in demography is how a given change in mortality affects life expectancy. Scholars have targeted this question with different aims and from different perspectives. Objective: We present and prove the central relationship between change in mortality and resulting change in e0, and we systematically apply it to investigate the effect of specific mortality perturbations. Comments: Expressions for the change in e_0 resulting from a change in the parameters of the standard parametric mortality model in demography, the Gompertz-Makeham model, include well-known demographic quantities, which might prove useful for future studies.

Suggested Citation

  • Tomasz Wrycza & Annette Baudisch, 2012. "How life expectancy varies with perturbations in age-specific mortality," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 27(13), pages 365-376.
    • Handle: RePEc:dem:demres:v:27:y:2012:i:13
    DOI: 10.4054/DemRes.2012.27.13
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Tomasz Wrycza, 2014. "Entropy of the Gompertz-Makeham mortality model," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 30(49), pages 1397-1404.
    2. James W. Vaupel & Marie-Pier Bergeron-Boucher & Ilya Kashnitsky, 2021. "Outsurvival as a measure of the inequality of lifespans between two populations," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 44(35), pages 853-864.
    3. Qi Cui & Vladimir Canudas-Romo & Heather Booth, 2019. "The Mechanism Underlying Change in the Sex Gap in Life Expectancy at Birth: An Extended Decomposition," Demography, Springer;Population Association of America (PAA), vol. 56(6), pages 2307-2321, December.
    4. Michal Engelman & Hal Caswell & Emily Agree, 2014. "Why do lifespan variability trends for the young and old diverge? A perturbation analysis," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 30(48), pages 1367-1396.
    5. Michael Væth & Mette Vinther Skriver & Henrik Støvring, 2018. "The impact of proportional changes in age-specific mortality on life expectancy when the mortality rate is a log-linear function of age," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 39(23), pages 671-684.
    6. Annette Baudisch & Jesús-Adrián Alvarez, 2021. "Born once, die once: Life table relationships for fertility," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 44(2), pages 49-66.
    7. Jorge M. Uribe & Helena Chuliá & Montserrat Guillen, 2018. "Trends in the Quantiles of the Life Table Survivorship Function," European Journal of Population, Springer;European Association for Population Studies, vol. 34(5), pages 793-817, December.
    8. Alyson Raalte & Hal Caswell, 2013. "Perturbation Analysis of Indices of Lifespan Variability," Demography, Springer;Population Association of America (PAA), vol. 50(5), pages 1615-1640, October.

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    More about this item

    Keywords

    mortality; life expectancy; perturbation; pace of aging;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

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