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On stochastic comparisons of population age structures and life expectancies

Author

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  • Maxim Finkelstein

    (University of the Free State)

Abstract

Cohort measures, describing a lifetime random variable are easily and unambiguously obtained using standard tools. On the contrary, the lifetime random variable, and therefore life expectancy, for the period setting cannot be unambiguously defined without additional simplifying assumptions. For non-stationary populations the corresponding conventional period measures should be justified in some way. Our paper is based on Bongaarts and Feeney (2002). We consider different measures of life expectancy and compare them for specific populations using stochastic ordering of the corresponding random variables. This gives possibility to look at the problem in a more general way.

Suggested Citation

  • Maxim Finkelstein, 2005. "On stochastic comparisons of population age structures and life expectancies," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 13(6), pages 143-162.
  • Handle: RePEc:dem:demres:v:13:y:2005:i:6
    DOI: 10.4054/DemRes.2005.13.6
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    References listed on IDEAS

    as
    1. M. S. Finkelstein, 2003. "On some measures and distances for positive random variables," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 19(2), pages 133-146, April.
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    Cited by:

    1. 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.

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    More about this item

    Keywords

    age distribution; life expectancy; stochastic comparison; cohort measures; period measures; tempo bias;
    All these keywords.

    JEL classification:

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

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