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The inverse relationship between life expectancy-induced changes in the old-age dependency ratio and the prospective old-age dependency ratio

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  • Ediev, Dalkhat M.
  • Sanderson, Warren C.
  • Scherbov, Sergei

Abstract

Unlike other biological populations, the human population is experiencing long-run increases in life expectancy. Those lead to changes in age compositions not typical for other biological populations. Sanderson and Scherbov (2015a) demonstrated that, in many countries in Europe, faster increases in life expectancy lead to faster population aging when measured using the old-age dependency ratio and to slower population aging when measured using the prospective old-age dependency ratio that employs a dynamic old-age threshold. We examine this finding analytically and with simulations. We use an analytic decomposition of changes in mortality schedules into shift and compression processes. We show that shifts and compressions of mortality schedules push the two old-age dependency ratios in opposite directions. Our formal results are supported by simulations that show a positive effect of a mortality shift on the old-age dependency ratio and a negative effect of it on the prospective old-age dependency ratio. The effects are of opposite sign for a mortality compression. Our formal and simulation results generalize observed European trends and suggest that the inverse relationship between life expectancy and prospective old-age dependency would be observed more generally.

Suggested Citation

  • Ediev, Dalkhat M. & Sanderson, Warren C. & Scherbov, Sergei, 2019. "The inverse relationship between life expectancy-induced changes in the old-age dependency ratio and the prospective old-age dependency ratio," Theoretical Population Biology, Elsevier, vol. 125(C), pages 1-10.
    • Handle: RePEc:eee:thpobi:v:125:y:2019:i:c:p:1-10
    DOI: 10.1016/j.tpb.2018.10.001
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    References listed on IDEAS

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    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.
    2. Väinö Kannisto, 2000. "Measuring the compression of mortality," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 3(6).
    3. John Bongaarts, 2005. "Long-range trends in adult mortality: Models and projection methods," Demography, Springer;Population Association of America (PAA), vol. 42(1), pages 23-49, February.
    4. John Wilmoth & Shiro Horiuchi, 1999. "Rectangularization revisited: Variability of age at death within human populations," Demography, Springer;Population Association of America (PAA), vol. 36(4), pages 475-495, November.
    5. Dalkhat M. Ediev, 2013. "Decompression of Period Old-Age Mortality: When Adjusted for Bias, the Variance in the Ages at Death Shows Compression," Mathematical Population Studies, Taylor & Francis Journals, vol. 20(3), pages 137-154, July.
    6. Warren C. Sanderson & Sergei Scherbov, 2013. "The Characteristics Approach to the Measurement of Population Aging," Population and Development Review, The Population Council, Inc., vol. 39(4), pages 673-685, December.
    7. Warren C. Sanderson & Sergei Scherbov, 2005. "Average remaining lifetimes can increase as human populations age," Nature, Nature, vol. 435(7043), pages 811-813, June.
    8. Warren C. Sanderson & Sergei Scherbov, 2015. "Are We Overly Dependent on Conventional Dependency Ratios?," Population and Development Review, The Population Council, Inc., vol. 41(4), pages 687-708, December.
    9. 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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