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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, July.
  • Handle: RePEc:dem:demres:v:19:y:2008:i:30
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    File URL: https://www.demographic-research.org/volumes/vol19/30/19-30.pdf
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    References listed on IDEAS

    as
    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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    Citations

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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Trifon I. Missov & Adam Lenart & Laszlo Nemeth & Vladimir Canudas-Romo & James Vaupel, 2015. "The Gompertz force of mortality in terms of the modal age at death," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 32(36), pages 1031-1048, May.
    7. Chiara Gigliarano & Ugofilippo Basellini & Marco Bonetti, 2014. "Concentration in survival times and longevity: The log-scale-location family of failure time models," Working Papers 066, "Carlo F. Dondena" Centre for Research on Social Dynamics (DONDENA), Università Commerciale Luigi Bocconi.
    8. repec:eee:insuma:v:75:y:2017:i:c:p:151-165 is not listed on IDEAS
    9. Favero, Carlo A. & Galasso, Vincenzo, 2015. "Demographics and the Secular Stagnation Hypothesis in Europe," CEPR Discussion Papers 10887, C.E.P.R. Discussion Papers.
    10. Alonso Meseguer, Javier & Tuesta Cárdenas, David & Torres Torres, Diego & Villamide Muiña, Begoña, 2015. "Proyecciones de tablas generacionales dinámicas de mortalidad y riesgo de longevidad en países en vías de desarrollo: El caso chileno/Projections of Dynamic Generational Mortality Tables and Longevity," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 33, pages 941-964, Septiembr.
    11. Viorela Diaconu & Nadine Ouellette & Carlo G. Camarda & Robert Bourbeau, 2016. "Insight on 'typical' longevity: An analysis of the modal lifespan by leading causes of death in Canada," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 35(17), pages 471-504, August.
    12. Michal Engelman & Vladimir Canudas-Romo & Emily M. Agree, 2010. "The Implications of Increased Survivorship for Mortality Variation in Aging Populations," Population and Development Review, The Population Council, Inc., vol. 36(3), pages 511-539.
    13. Chiara Gigliarano & Ugofilippo Basellini & Marco Bonetti, 2017. "Longevity and concentration in survival times: the log-scale-location family of failure time models," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 23(2), pages 254-274, April.
    14. repec:dem:demres:v:38:y:2018:i:29 is not listed on IDEAS
    15. 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;Population Association of America (PAA), vol. 49(3), pages 819-840, August.
    16. Marie-Pier Bergeron-Boucher & Marcus Ebeling & Vladimir Canudas-Romo, 2015. "Decomposing changes in life expectancy: Compression versus shifting mortality," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 33(14), pages 391-424, September.
    17. 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.

    More about this item

    Keywords

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

    JEL classification:

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

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