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On the relationship between period and cohort mortality

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  • John R. Wilmoth

    (University of California, Berkeley)

Abstract

In this paper I explore the formal relationship between period and cohort mortality, focusing on a comparison of measures of mean lifespan. I consider not only the usual measures (life expectancy at birth for time periods and birth cohorts) but also some alternative measures that have been proposed recently. I examine (and reject) the claim made by Bongaarts and Feeney that the level of period is distorted, or biased, due to changes in the timing of mortality. I show that their proposed alternative measure, called “tempo-adjusted” life expectancy, is exactly equivalent in its generalized form to a measure proposed by both Brouard and Guillot, the cross-sectional average length of life (or CAL), which substitutes cohort survival probabilities for their period counterparts in the calculation of mean lifespan. I conclude that this measure does not in any sense correct for a distortion in period life expectancy at birth, but rather offers an alternative measure of mean lifespan that is approximately equal to two analytically interesting quantities: 1) the mean age at death in a given year for a hypothetical population subject to observed historical mortality conditions but with a constant annual number of births; and 2) the mean age at death, , for a cohort born years ago. However, I also observe that the trend in period does indeed offer a biased depiction of the pace of change in mean lifespan from cohort to cohort. Holding other factors constant, an historical increase in life expectancy at birth is somewhat faster when viewed from the perspective of cohorts (i.e., year of birth) than from the perspective of periods (i.e., year of death).

Suggested Citation

  • John R. Wilmoth, 2005. "On the relationship between period and cohort mortality," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 13(11), pages 231-280.
  • Handle: RePEc:dem:demres:v:13:y:2005:i:11
    DOI: 10.4054/DemRes.2005.13.11
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    References listed on IDEAS

    as
    1. Robert Schoen, 2004. "Timing effects and the interpretation of period fertility," Demography, Springer;Population Association of America (PAA), vol. 41(4), pages 801-819, November.
    2. Norman Ryder, 1978. "A model of fertility by planning status," Demography, Springer;Population Association of America (PAA), vol. 15(4), pages 433-458, November.
    3. John Bongaarts, 2005. "Five period measures of longevity," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 13(21), pages 547-558.
    4. N. Ryder, 1964. "The process of demographic translation," Demography, Springer;Population Association of America (PAA), vol. 1(1), pages 74-82, March.
    5. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Chong It Tan & Jackie Li & Johnny Siu-Hang Li & Uditha Balasooriya, 2016. "Stochastic modelling of the hybrid survival curve," Journal of Population Research, Springer, vol. 33(4), pages 307-331, December.
    2. Kenneth W. Wachter, 2005. "Tempo and its Tribulations," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 13(9), pages 201-222.
    3. Marc Luy, 2006. "Mortality tempo-adjustment," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 15(21), pages 561-590.
    4. Samir Soneji & Gary King, 2012. "Statistical Security for Social Security," Demography, Springer;Population Association of America (PAA), vol. 49(3), pages 1037-1060, August.
    5. Hartemink, Nienke & Missov, Trifon I. & Caswell, Hal, 2017. "Stochasticity, heterogeneity, and variance in longevity in human populations," Theoretical Population Biology, Elsevier, vol. 114(C), pages 107-116.
    6. Nico Keilman, 2019. "Mortality shifts and mortality compression in period and cohort life tables," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(40), pages 1147-1196.
    7. Samir Soneji & Gary King, 2011. "The future of death in America," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 25(1), pages 1-38.
    8. Marc Luy, 2005. "The importance of mortality tempo-adjustment: theoretical and empirical considerations," MPIDR Working Papers WP-2005-035, Max Planck Institute for Demographic Research, Rostock, Germany.

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    More about this item

    Keywords

    mortality; life expectancy; life span; tempo-adjusted life expectancy;
    All these keywords.

    JEL classification:

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

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