Skip to main content

Revisiting Life Expectancy Rankings in Countries that Have Experienced Fast Mortality Decline

  • Chapter
  • First Online:
Dynamic Demographic Analysis

Abstract

In this chapter, we propose a simple procedure for making international comparisons of life expectancy. This procedure builds on the theoretical advantages of using actual cohorts (as opposed to synthetic cohorts) for building life tables, but uses all the available mortality information up to the present. Specifically, for each non-extinct cohort present in the population at time t, we calculate the cohort’s truncated life expectancy at birth, with the truncation age being the age reached by the cohort at time t. We calculate truncated cohort life expectancies for 17 countries using data from the Human Mortality Database, and compare them with their period, synthetic-cohort equivalent. We find that a number of countries, including Italy and Spain, rank consistently lower in terms of cohorts vs. periods. The US, however, ranks more favorably in terms of cohorts as opposed to periods. We argue that the examination of truncated cohort life expectancies offers a simple solution for summarizing complex time- and age-specific mortality trajectories in a way that is meaningful for real cohorts of individuals, and thus enriches international mortality comparisons. This approach is particularly relevant for countries that have experienced fast mortality change. We also introduce the concept of “momentum of mortality disadvantage,” which states that some countries currently ranking high in terms of period life expectancy have accumulated such cohort mortality disadvantages up to the present that these disadvantages are not likely to be reversed, even if currently-observed mortality advantages persist in the future.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Almond, D. (2006). Is the 1918 Influenza pandemic over? Long‐term effects of in utero Influenza exposure in the post‐1940 US population. Journal of Political Economy, 114(4), 672–712.

    Article  Google Scholar 

  • Barker, D. J. (2007). The origins of the developmental origins theory. Journal of Internal Medicine, 261(5), 412–417. doi:10.1111/j.1365-2796.2007.01809.x.

    Article  Google Scholar 

  • Bell, F., & Miller, M. (2005). Life tables for the United States social security area 1900–2100. Actuarial Study No. 120. Office of the Chief Actuary, Social Security Administration.

    Google Scholar 

  • Bongaarts, J. (2005). Five period measures of longevity. Demographic Research, 13, 547–558.

    Article  Google Scholar 

  • Brouard, N. (1986). Structure et dynamique des populations. La pyramide des années à vivre, aspects nationaux et exemples régionaux. Espace, Populations, Sociétés, 4(2), 157–168.

    Article  Google Scholar 

  • Canudas-Romo, V., & Guillot, M. (2015). Truncated cross-sectional average length of life: A measure for comparing the mortality history of cohorts. Population Studies, 1–13. doi:10.1080/00324728.2015.1019955

    Google Scholar 

  • Crimmins, E. M., & Finch, C. E. (2006). Infection, inflammation, height, and longevity. Proceedings of the National Academy of Sciences of the United States of America, 103(2), 498–503.

    Article  Google Scholar 

  • Doblhammer, G., & Vaupel, J. W. (2001). Lifespan depends on month of birth. Proceedings of the National Academy of Sciences, 98(5), 2934–2939.

    Article  Google Scholar 

  • Doll, R., Peto, R., Boreham, J., & Sutherland, I. (2004). Mortality in relation to smoking: 50 years’ observations on male British doctors. BMJ, 328(7455), 1519.

    Article  Google Scholar 

  • Elo, I. T., & Preston, S. H. (1992). Effects of early-life conditions on adult mortality: A review. Population Index, 186–212.

    Google Scholar 

  • Forsdahl, A. (1977). Are poor living conditions in childhood and adolescence an important risk factor for arteriosclerotic heart disease? British Journal of Preventive & Social Medicine, 31(2), 91–95.

    Google Scholar 

  • Frost, W. H. (1995). The age selection of mortality from tuberculosis in successive decades. American Journal of Epidemiology, 141(1), 4–9.

    Google Scholar 

  • Guillot, M. (2003). The cross-sectional average length of life (CAL): A cross-sectional mortality measure that reflects the experience of cohorts. Population Studies-a Journal of Demography, 57(1), 41–54. doi: 10.1080/0032472032000061712.

    Google Scholar 

  • Guillot, M. (2011). Period versus cohort life expectancy. In R.G. Rogers & E.M. Crimmins (Eds.), International handbook of adult mortality. New York: Springer.

    Google Scholar 

  • Guillot, M., & Kim, H. S. (2011). On the correspondence between CAL and lagged cohort life expectancy. Demographic Research, 24. doi:10.4054/Demres.2011.24.25.

    Google Scholar 

  • Ho, J. Y., & Preston, S. H. (2010). US mortality in an international context: Age variations. Population and Development Review, 36(4), 749–773.

    Article  Google Scholar 

  • Human Mortality Database. (2015). University of California, Berkeley (USA), and Max Planck Institute for Demographic Research (Germany). Available at: www.mortality.org

  • Murray, C. J., & Frenk, J. (2010). Ranking 37th—Measuring the performance of the US health care system. New England Journal of Medicine, 362(2), 98–99.

    Article  Google Scholar 

  • Myrskylä, M. (2010). The effects of shocks in early life mortality on later life expectancy and mortality compression: A cohort analysis. Demographic Research, 22(12), 289–320.

    Article  Google Scholar 

  • Preston, S. H., Hill, M. E., & Drevenstedt, G. L. (1998). Childhood conditions that predict survival to advanced ages among African–Americans. Social Science & Medicine, 47(9), 1231–1246.

    Article  Google Scholar 

  • Preston, S., Heuveline, P., & Guillot, M. (2001). Demography: Measuring and modeling population processes. Malden: Blackwell Publishers.

    Google Scholar 

  • Richards, S. J., Kirkby, J., & Currie, I. D. (2006). The importance of year of birth in two-dimensional mortality data. British Actuarial Journal, 12(01), 5–38.

    Article  Google Scholar 

  • Schoen, R., & Canudas-Romo, V. (2005). Changing mortality and average cohort life expectancy. Demographic Research, 13, 117–142.

    Article  Google Scholar 

  • Vaupel, J. W. (2002). Life expectancy at current rates vs. current conditions: A reflexion stimulated by Bongaarts and Feeney’s “How long do we live?”. Demographic Research, 7(8), 366–376.

    Google Scholar 

  • Vaupel, J. W., Manton, K. G., & Stallard, E. (1979). The impact of heterogeneity in individual frailty on the dynamics of mortality. Demography, 16(3), 439–454.

    Article  Google Scholar 

  • Wang, H., & Preston, S. H. (2009). Forecasting United States mortality using cohort smoking histories. Proceedings of the National Academy of Sciences, 106(2), 393–398.

    Article  Google Scholar 

  • Willets, R. (2004). The cohort effect: Insights and explanations. British Actuarial Journal, 10(04), 833–877.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Michel Guillot .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Guillot, M., Canudas-Romo, V. (2016). Revisiting Life Expectancy Rankings in Countries that Have Experienced Fast Mortality Decline. In: Schoen, R. (eds) Dynamic Demographic Analysis. The Springer Series on Demographic Methods and Population Analysis, vol 39. Springer, Cham. https://doi.org/10.1007/978-3-319-26603-9_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-26603-9_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26601-5

  • Online ISBN: 978-3-319-26603-9

  • eBook Packages: Social SciencesSocial Sciences (R0)

Publish with us

Policies and ethics