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Tempo effects in mortality

Author

Listed:
  • Michel Guillot

    (University of Pennsylvania)

Abstract

This study examines the existence of tempo effects in mortality and evaluates the procedure developed by Bongaarts and Feeney for calculating a tempo-adjusted life expectancy. It is shown that Bongaarts and Feeney's index can be interpreted as an indicator reflecting current mortality conditions under specific assumptions regarding the effects of changing period mortality conditions on the timing of future cohort deaths. It is argued, however, that currently there is no clear evidence about the existence of such effects in actual populations. This paper concludes that until the existence of these effects can be demonstrated, it is preferable to continue using the conventional life expectancy as an indicator of current mortality conditions.

Suggested Citation

  • Michel Guillot, 2006. "Tempo effects in mortality," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 14(1), pages 1-26.
    • Handle: RePEc:dem:demres:v:14:y:2006:i:1
    DOI: 10.4054/DemRes.2006.14.1
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    References listed on IDEAS

    as
    1. Maria Winkler-Dworak & Henriette Engelhardt, 2004. "On the tempo and quantum of first marriages in Austria, Germany, and Switzerland," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 10(9), pages 231-264.
    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.
    3. Joshua R. Goldstein, 2006. "Found in translation?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 14(5), pages 71-84.
    4. 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.
    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. N. Ryder, 1964. "The process of demographic translation," Demography, Springer;Population Association of America (PAA), vol. 1(1), pages 74-82, March.
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    Cited by:

    1. Germán Rodriguez, 2006. "Demographic translation and tempo effects," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 14(6), pages 85-110.
    2. Hisashi Inaba, 2007. "Effects of Age Shift on the Tempo and Quantum of Non-Repeatable Events," Mathematical Population Studies, Taylor & Francis Journals, vol. 14(3), pages 131-168.
    3. Ørnulf Borgan & Nico Keilman, 2019. "Do Japanese and Italian Women Live Longer than Women in Scandinavia?," European Journal of Population, Springer;European Association for Population Studies, vol. 35(1), pages 87-99, February.
    4. Marc Luy, 2006. "Mortality tempo-adjustment," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 15(21), pages 561-590.
    5. Yang Yang, 2008. "Trends in U.S. adult chronic disease mortality, 1960–1999: age, period, and cohort variations," Demography, Springer;Population Association of America (PAA), vol. 45(2), pages 387-416, May.
    6. Máire Ní Bhrolcháin, 2011. "Tempo and the TFR," Demography, Springer;Population Association of America (PAA), vol. 48(3), pages 841-861, August.
    7. 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.

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    More about this item

    Keywords

    formal demography; demographic methods; tempo effects; mortality models; tempo adjustment; measurement issues;
    All these keywords.

    JEL classification:

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

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