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The modal age at death and the shifting mortality hypothesis

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  • Vladimir Canudas-Romo

    (University of Copenhagen)

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    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.

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    File URL: http://www.demographic-research.org/volumes/vol19/30/19-30.pdf
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    Bibliographic Info

    Article provided by Max Planck Institute for Demographic Research, Rostock, Germany in its journal Demographic Research.

    Volume (Year): 19 (2008)
    Issue (Month): 30 (July)
    Pages: 1179-1204

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    Handle: RePEc:dem:demres:v:19:y:2008:i:30

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    Web page: http://www.demogr.mpg.de/

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    Keywords: compression of mortality; distribution of deaths; life table modal age at death; mortality models; shifting mortality;

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    References

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    1. 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, August.
    2. 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, October.
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    Cited by:
    1. Siu Lan Karen Cheung & Jean-Marie Robine & Fred Paccaud & Alfio Marazzi, 2009. "Dissecting the compression of mortality in Switzerland, 1876-2005," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 21(19), pages 569-598, October.
    2. Alyson A. van Raalte & Pekka Martikainen & Mikko Myrskylä, 2012. "Lifespan variation by occupational class: compression or stagnation over time?," MPIDR Working Papers WP-2012-010, Max Planck Institute for Demographic Research, Rostock, Germany.
    3. A. Roger Thatcher & Siu Lan Karen Cheung & Shiro Horiuchi & Jean-Marie Robine, 2010. "The compression of deaths above the mode," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 22(17), pages 505-538, March.
    4. Nadine Ouellette & Robert Bourbeau, 2011. "Changes in the age-at-death distribution in four low mortality countries: A nonparametric approach," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 25(19), pages 595-628, September.
    5. 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, May.
    6. Dustin Brown & Mark Hayward & Jennifer Montez & Robert Hummer & Chi-Tsun Chiu & Mira Hidajat, 2012. "The Significance of Education for Mortality Compression in the United States," Demography, Springer, vol. 49(3), pages 819-840, August.
    7. Jean-Marie Robine & Siu Lan Karen Cheung & Shiro Horiuchi, 2010. "Arthur Roger Thatcher's contributions to longevity research," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 22(18), pages 539-548, March.

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