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Adjusting prospective old-age thresholds by health status: empirical findings and implications. A case study of Italy

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  • Elena Demuru
  • Viviana Egidi

Abstract

While traditional measures of population ageing are bound to the concept of chronological age, new indicators have been proposed that take into account the dramatic changes that have occurred in later life due to increasing longevity. In this paper, we re-evaluate demographic ageing in Italy using prospective oldage thresholds based on both total remaining life expectancy and remaining life expectancy in good health. We show that the proportion of individuals above the prospective thresholds has been increasing much more slowly than the proportion of people aged 65 years and older, and that the increase in the proportion of individuals above the prospective thresholds adjusted for health status has been more or less large depending on trends in health status at older ages. Given these results and the ongoing improvements in health conditions among older people, we think the consequences of population ageing for Italian society could be less severe than expected.

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  • Elena Demuru & Viviana Egidi, 2016. "Adjusting prospective old-age thresholds by health status: empirical findings and implications. A case study of Italy," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 14(1), pages 131-154.
  • Handle: RePEc:vid:yearbk:v:14:y:2016:i:1:p:131-154
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    1. Doblhammer, Gabriele & Kytir, Josef, 2001. "Compression or expansion of morbidity? Trends in healthy-life expectancy in the elderly Austrian population between 1978 and 1998," Social Science & Medicine, Elsevier, vol. 52(3), pages 385-391, February.
    2. repec:cai:popine:popu_p2001_13n1_0171 is not listed on IDEAS
    3. repec:cai:popine:popu_p2001_13n1_0071 is not listed on IDEAS
    4. Väinö Kannisto, 2000. "Measuring the compression of mortality," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 3(6).
    5. Baoping Shang & Dana Goldman, 2008. "Does age or life expectancy better predict health care expenditures?," Health Economics, John Wiley & Sons, Ltd., vol. 17(4), pages 487-501, April.
    6. Samuel Preston & Haidong Wang, 2006. "Sex mortality differences in The United States: The role of cohort smoking patterns," Demography, Springer;Population Association of America (PAA), vol. 43(4), pages 631-646, November.
    7. Bengtsson, Tommy & Broström, Göran, 2009. "Do conditions in early life affect old-age mortality directly and indirectly? Evidence from 19th-century rural Sweden," Social Science & Medicine, Elsevier, vol. 68(9), pages 1583-1590, May.
    8. Warren C. Sanderson & Sergei Scherbov, 2007. "A new perspective on population aging," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 16(2), pages 27-58.
    9. Seshamani, Meena & Gray, Alastair M., 2004. "A longitudinal study of the effects of age and time to death on hospital costs," Journal of Health Economics, Elsevier, vol. 23(2), pages 217-235, March.
    10. Wolfgang Lutz & Warren Sanderson & Sergei Scherbov, 2008. "The coming acceleration of global population ageing," Nature, Nature, vol. 451(7179), pages 716-719, February.
    11. Jean-Marie Robine & James Vaupel, 2002. "Emergence of Supercentenarians in Low-Mortality Countries," North American Actuarial Journal, Taylor & Francis Journals, vol. 6(3), pages 54-63.
    12. Sally C. Stearns & Edward C. Norton, 2004. "Time to include time to death? The future of health care expenditure predictions," Health Economics, John Wiley & Sons, Ltd., vol. 13(4), pages 315-327, April.
    13. Roland Rau & Eugeny Soroko & Domantas Jasilionis & James W. Vaupel, 2008. "Continued Reductions in Mortality at Advanced Ages," Population and Development Review, The Population Council, Inc., vol. 34(4), pages 747-768, December.
    14. Elisabetta Barbi, 2003. "Assessing the rate of ageing of the human population," MPIDR Working Papers WP-2003-008, Max Planck Institute for Demographic Research, Rostock, Germany.
    15. Shiro Horiuchi & Nadine Ouellette & Siu Lan Karen Cheung & Jean-Marie Robine, 2013. "Modal age at death: lifespan indicator in the era of longevity extension," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 11(1), pages 37-69.
    16. Hui Zheng, 2014. "Aging in the Context of Cohort Evolution and Mortality Selection," Demography, Springer;Population Association of America (PAA), vol. 51(4), pages 1295-1317, August.
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