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The modal age at death and the shifting mortality hypothesis

Author

Listed:
  • Vladimir Canudas-Romo

    (Australian National University)

Abstract

The modal age at death is used to study the shifting mortality scenario experienced by low mortality countries. The relations of the life table functions at the modal age are analyzed using mortality models. In the models the modal age increases over time, but there is an asymptotic approximation towards a constant number of deaths and standard deviation from the mode. The findings are compared to the changes observed in populations with historical mortality data. During the transition period to a shifting mortality era the population becomes highly heterogeneous and the rate of improvement in mortality is highly sensitive to these changes. By focusing in the modal age at death, a new perspective on the analysis of human longevity is revealed.

Suggested Citation

  • Vladimir Canudas-Romo, 2008. "The modal age at death and the shifting mortality hypothesis," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 19(30), pages 1179-1204.
    • Handle: RePEc:dem:demres:v:19:y:2008:i:30
    DOI: 10.4054/DemRes.2008.19.30
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    References listed on IDEAS

    as
    1. Michel Guillot, 2006. "Tempo effects in mortality," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 14(1), pages 1-26.
    2. James W. Vaupel, 2005. "Lifesaving, lifetimes and lifetables," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 13(24), pages 597-614.
    3. repec:cai:popine:popu_p2001_13n1_0171 is not listed on IDEAS
    4. Germán Rodriguez, 2006. "Demographic translation and tempo effects," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 14(6), pages 85-110.
    5. Kenneth W. Wachter, 2005. "Tempo and its Tribulations," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 13(9), pages 201-222.
    6. Väinö Kannisto, 2000. "Measuring the compression of mortality," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 3(6).
    7. John Wilmoth & Shiro Horiuchi, 1999. "Rectangularization revisited: Variability of age at death within human populations," Demography, Springer;Population Association of America (PAA), vol. 36(4), pages 475-495, November.
    8. Siu Cheung & Jean-Marie Robine & Edward Tu & Graziella Caselli, 2005. "Three dimensions of the survival curve: horizontalization, verticalization, and longevity extension," Demography, Springer;Population Association of America (PAA), vol. 42(2), pages 243-258, May.
    9. John Bongaarts, 2005. "Long-range trends in adult mortality: Models and projection methods," Demography, Springer;Population Association of America (PAA), vol. 42(1), pages 23-49, February.
    10. James Vaupel & Vladimir Romo, 2003. "Decomposing change in life expectancy: A bouquet of formulas in honor of Nathan Keyfitz’s 90th birthday," Demography, Springer;Population Association of America (PAA), vol. 40(2), pages 201-216, May.
    11. Vladimir Canudas-Romo & Robert Schoen, 2005. "Age-specific contributions to changes in the period and cohort life expectancy," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 13(3), pages 63-82.
    12. Griffith Feeney, 2006. "Increments to life and mortality tempo," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 14(2), pages 27-46.
    13. Shiro Horiuchi, 2005. "Tempo effect on age-specific death rates," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 13(8), pages 189-200.
    14. Robert Schoen & Vladimir Canudas-Romo, 2005. "Changing mortality and average cohort life expectancy," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 13(5), pages 117-142.
    15. John Bongaarts & Griffith Feeney, 2002. "How Long Do We Live?," Population and Development Review, The Population Council, Inc., vol. 28(1), pages 13-29, March.
    16. Joshua R. Goldstein, 2006. "Found in translation?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 14(5), pages 71-84.
    17. repec:cai:popine:popu_p2001_13n1_0193 is not listed on IDEAS
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    More about this item

    Keywords

    compression of mortality; mortality models; distribution of deaths; life table modal age at death; shifting mortality;
    All these keywords.

    JEL classification:

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

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