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Truncated cross-sectional average length of life: A measure for comparing the mortality history of cohorts

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  • Vladimir Canudas-Romo
  • Michel Guillot

Abstract

Period life expectancies are commonly used to compare populations, but these correspond to simple juxtapositions of current mortality levels. In order to construct life expectancies for cohorts, a complete historical series of mortality rates is needed, and these are available for only a subset of developed countries. The truncated cross-sectional average length of life (TCAL) is a new measure that captures historical information about all cohorts present at a given moment and is not limited to countries with complete cohort mortality data. The value of TCAL depends on the rates used to complete the cohort series, but differences between TCALs of two populations remain similar irrespective of the data used to complete the cohort series. This result is illustrated by a comparison of TCALs for the US with those for Denmark, Japan, and other high-longevity countries. Specific cohorts that account for most of the disparity in mortality between the populations are identified.Supplementary material for this article is available at: http://dx.doi.org/10.1080/00324728.2015.1019955

Suggested Citation

  • Vladimir Canudas-Romo & Michel Guillot, 2015. "Truncated cross-sectional average length of life: A measure for comparing the mortality history of cohorts," Population Studies, Taylor & Francis Journals, vol. 69(2), pages 147-159, July.
    • Handle: RePEc:taf:rpstxx:v:69:y:2015:i:2:p:147-159
    DOI: 10.1080/00324728.2015.1019955
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    References listed on IDEAS

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    1. Griffith Feeney & John Bongaarts, 2006. "The Quantum and Tempo of Life-Cycle Events," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 4(1), pages 115-151.
    2. Easterlin, Richard A., 1987. "Birth and Fortune," University of Chicago Press Economics Books, University of Chicago Press, edition 2, number 9780226180328, September.
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    Cited by:

    1. Qi Cui & Vladimir Canudas-Romo & Heather Booth, 2019. "The Mechanism Underlying Change in the Sex Gap in Life Expectancy at Birth: An Extended Decomposition," Demography, Springer;Population Association of America (PAA), vol. 56(6), pages 2307-2321, December.
    2. Enrique Acosta & Stacey A. Hallman & Lisa Y. Dillon & Nadine Ouellette & Robert Bourbeau & D. Ann Herring & Kris Inwood & David J. D. Earn & Joaquin Madrenas & Matthew S. Miller & Alain Gagnon, 2019. "Determinants of Influenza Mortality Trends: Age-Period-Cohort Analysis of Influenza Mortality in the United States, 1959–2016," Demography, Springer;Population Association of America (PAA), vol. 56(5), pages 1723-1746, October.
    3. Nicolas Brouard, 2019. "Theory and applications of backward probabilities and prevalences in cross-longitudinal surveys," Working Papers awltfxmuxmqcvuzmm9ui, French Institute for Demographic Studies.
    4. González Alejandro López & González-González María Jesús, 2018. "Third demographic transition and demographic dividend: An application based on panel data analysis," Bulletin of Geography. Socio-economic Series, Sciendo, vol. 42(42), pages 59-82, December.

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