Skip to main content

Period Versus Cohort Life Expectancy

  • Chapter
  • First Online:

Part of the book series: International Handbooks of Population ((IHOP,volume 2))

Abstract

Mortality can be analyzed according to two main frameworks: the cohort framework, which takes into account mortality risks as they unfold along the actual life cycle of a group of individuals born during the same period of time, and the period framework, which takes into account risks experienced by different cohorts during a single period of time. These frameworks provide two alternative ways for studying life expectancy. Analysis of time trends in life expectancy will differ depending on whether it is calculated by period or cohort. This chapter reviews the extent to which period and cohort life expectancies can be interpreted in terms of underlying health conditions for the corresponding periods and cohorts. While cohort life expectancy is an adequate indicator of a cohort’s underlying health conditions, the connection remains elusive in the case of period life expectancy. Cohort influences and heterogeneity, in particular, appear to generate period life expectancy values that may not entirely reflect period conditions. This chapter also discusses a third and intermediate approach, the cross-sectional cohort approach, which offers some additional insights about the dynamics of mortality.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   299.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   379.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   379.99
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

Learn about institutional subscriptions

References

  • Barker, D.J.P. 2007. “The Origins of the Developmental Origins Theory.” Journal of Internal Medicine 621:412–17.

    Article  Google Scholar 

  • Bongaarts, J. and G. Feeney. 2002. “How Long Do We Live?” Population and Development Review 28(1):13–29.

    Article  Google Scholar 

  • Bongaarts, J. and G. Feeney. 2003. “Estimating Mean Lifetime.” Proceedings of the National Academy of Sciences 100(23):13127–33.

    Article  Google Scholar 

  • Bongaarts, J. and G. Feeney. 2008. In E. Barbi, J. Bongaarts, and J.W. Vaupel (eds.), How Long Do We Live? Demographic Models and Reflexions on Tempo Effects, pp. 263–69. Hiedelberg, Germany, Springer.

    Google Scholar 

  • Brouard, N. 1986. “Structure et Dynamique des Populations. La Pyramide des Années à Vivre, Aspects Nationaux et Exemples Régionaux.” Espace, Populations, Sociétés 2(14–15):157–68.

    Google Scholar 

  • Canudas-Romo, V. and R. Schoen. 2005. “Age-Specific Contributions to Changes in the Period and Cohort Life Expectancy.” Demographic Research 13:63–82.

    Article  Google Scholar 

  • Caselli, G. and R. Capocaccia. 1989. “Age, Period, Cohort and Early Mortality: An Analysis of Adult Mortality in Italy.” Population Studies 43:133–53.

    Article  Google Scholar 

  • Crimmins, E.M. and C.E. Finch. 2006. “Infection, Inflammation, Height, and Longevity.” PNAS 103(2):498–503.

    Article  Google Scholar 

  • Crimmins, E.M., M.D. Hayward, and Y. Saito. 1994. “Changing Mortality and Morbidity Rates and the Health Status and Life Expectancy of the Older Population.” Demography 31(1):159–75.

    Article  Google Scholar 

  • Doll, R., R. Peto, J. Boreham, and I. Sutherland. 2004. “Mortality in Relation to Smoking: 50 years’ Observations on Male British Doctors.” British Medical Journal 328:1519–28.

    Article  Google Scholar 

  • Elo, I.T. and S.H. Preston. 1992. “Effects of Early-Life Conditions on Adult Mortality: A Review.” Population Index 58(2):186–212.

    Article  Google Scholar 

  • Eng, J.P. 1980. “A Mathematical Model Relating Cohort and Period Mortality.” Demography 17(1):115–27.

    Article  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 and Social Medicine 31:91–95.

    Google Scholar 

  • Frost, W.H. 1939. “The Age Selection of Mortality from Tuberculosis in Successive Decades.” American Journal of Hygiene 30(3):91–96.

    Google Scholar 

  • Goldstein, J. 2006. “Found in Translation.” Demographic Research 14(5):71–84.

    Article  Google Scholar 

  • Goldstein, J. and K. Wachter. 2006. “Relationships Between Period and Cohort Life Expectancy: Gaps and Lags.” Population Studies 60(3):257–69.

    Article  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 57(1):41–54.

    Article  Google Scholar 

  • Guillot, M. 2005. “The Momentum of Mortality Decline.” Population Studies 59(3):283–94.

    Article  Google Scholar 

  • Guillot, M. 2006. “Tempo Effects in Mortality: An Appraisal.” Demographic Research 14(1):1–26.

    Article  Google Scholar 

  • Guillot, M. and H.S. Kim. 2010. On the Correspondence between CAL and Lagged Cohort Life Expectancy. Paper Presented at the 2010 PAA Meetings.

    Google Scholar 

  • Hobcraft, J., J. Menken, and S. Preston. 1982. “Age, Period, and Cohort Effects in Demography: A Review.” Population Index 48(1):4–43.

    Article  Google Scholar 

  • Lièvre, A., N. Brouard, and C. Heathcote. 2003. “The Estimation of Health Expectancies from Cross-Longitudinal Surveys.” Mathematical Population Studies 10:211–48.

    Article  Google Scholar 

  • Luy, M. and C. Wegner. 2009. “Conventional Versus Tempo-Adjusted Life Expectancy—Which Is the More Appropriate Measure for Period Mortality?” Genus 65(2):1–28.

    Google Scholar 

  • Mason, W.M. and H.L. Smith. 1985. “Age-Period-Cohort Analysis and the Study of Deaths from Pulmonary Tuberculosis.” In W.M. Mason and S.E. Feinberg (eds.), Cohort Analysis in Social Research, pp. 151–227. New York, NY, Springer.

    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 

  • Neel, J.V. and W.J. Schull. (eds.). 1991. The Children of Atomic Bomb Survivors: A Genetic Study. Washington, DC, National Academy Press.

    Google Scholar 

  • Peto, J., H. Seidman, and I.J. Selikoff. 1982. “Mesothelioma Mortality in Asbestos Workers: Implications for Models of Carcinogenesis and Risk Assessment.” British Journal of Cancer 45(1):124–35.

    Article  Google Scholar 

  • Preston, S.H., M.E. Hill, and G.L. Drevenstedt. 1998. “Childhood Conditions that Predict Survival to Advanced Ages among African-Americans.” Social Science and Medicine 47(9):1231–46.

    Article  Google Scholar 

  • Preston, S.H. and H. Wang. 2006. “Sex Mortality Differences in the United States: The Role of Cohort Smoking Patterns.” Demography 43(4):631–46.

    Article  Google Scholar 

  • Riley, J.C. 2001. Rising Life Expectancy: A Global History. Cambridge, Cambridge University Press.

    Google Scholar 

  • Rodriguez, G. 2006. “Demographic Translation and Tempo Effects: An Accelerated Failure Time Perspective.” Demographic Research 14(6):85–110.

    Article  Google Scholar 

  • Ryder, N.B. 1964. “The Process of Demographic Translation.” Demography 1(1):74–82.

    Google Scholar 

  • Schoen, R. 2006. Dynamic Population Models. New York, NY, Springer.

    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):365–78.

    Article  Google Scholar 

  • Vaupel, J.W, K.G. Manton, and E. Stallard. 1979. “The Impact of Heterogeneity in Individual Frailty on the Dynamics of Mortality.” Demography 16(3):439–54.

    Article  Google Scholar 

  • Wachter, K. 2005. “Tempo and Its Tribulation.” Demographic Research 13(9):201–22.

    Article  Google Scholar 

  • Wilmoth, J.R. 2005. “On the Relationship Between Period and Cohort Mortality.” Demographic Research 13(1):231–80.

    Article  Google Scholar 

  • Wilmoth, J., J. Vallin, and G. Caselli. 1990. “When Does a Cohort’s Mortality Differ from What We Might Expect?” Population: An English Selection 2:93–126.

    Google Scholar 

Download references

Acknowledgments

I am grateful to John Bongaarts, Douglas Ewbank, Samuel Preston, and the editors of this volume for their comments and suggestions.

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

© 2011 Springer Science+Business Media B.V.

About this chapter

Cite this chapter

Guillot, M. (2011). Period Versus Cohort Life Expectancy. In: Rogers, R., Crimmins, E. (eds) International Handbook of Adult Mortality. International Handbooks of Population, vol 2. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9996-9_25

Download citation

Publish with us

Policies and ethics