Demography

, Volume 48, Issue 1, pp 211–239 | Cite as

Losses of Expected Lifetime in the United States and Other Developed Countries: Methods and Empirical Analyses

  • Vladimir M. Shkolnikov
  • Evgeny M. Andreev
  • Zhen Zhang
  • James Oeppen
  • James W. Vaupel
Article

Abstract

Patterns of diversity in age at death are examined using e , a dispersion measure that equals the average expected lifetime lost at death. We apply two methods for decomposing differences in e . The first method estimates the contributions of average levels of mortality and mortality age structures. The second (and newly developed) method returns components produced by differences between age- and cause-specific mortality rates. The United States is close to England and Wales in mean life expectancy but has higher life expectancy losses and lacks mortality compression. The difference is determined by mortality age structures, whereas the role of mortality levels is minor. This is related to excess mortality at ages under 65 from various causes in the United States. Regression on 17 country-series suggests that e correlates with income inequality across countries but not across time. This result can be attributed to dissimilarity between the age- and cause-of-death structures of temporal mortality reduction and intercountry mortality variation. It also suggests that factors affecting overall mortality decrease differ from those responsible for excess lifetime losses in the United States compared with other countries. The latter can be related to weaknesses of health system and other factors resulting in premature death from heart diseases, amenable causes, accidents and violence.

Keywords

Life expectancy Premature death Causes of death Inequality 

Notes

Acknowledgements

This study is a part of project “Methods of measurement and decomposition in mortality studies” at the Max Planck Institute for Demographic Research. We would like to express our sincere gratitude to Demography’s invited editor Ken Hill for his constructive and insightful comments on previous versions of the article. We are also grateful to two anonymous reviewers for their helpful comments and rigorous check of the text, formulae, and tables. Finally, we extend our gratitude to Edelgard Katke from MPIDR for formatting of the manuscript.

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Copyright information

© Population Association of America 2011

Authors and Affiliations

  • Vladimir M. Shkolnikov
    • 1
  • Evgeny M. Andreev
    • 1
  • Zhen Zhang
    • 2
  • James Oeppen
    • 2
  • James W. Vaupel
    • 2
  1. 1.Laboratory of Demographic Data, Max Planck Institute for Demographic Research (MPIDR)RostockGermany
  2. 2.Laboratory of Survival and Longetivity, Max Planck Institute for Demographic Research (MPIDR)RostockGermany

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