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Advances in Age–Period–Cohort Analysis

Author

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  • Herbert L. Smith

    (University of Pennsylvania, Philadelphia, hsmith@pop.upenn.edu)

Abstract

Social indicators and demographic rates are often arrayed over time by age. The patterns of rates by age at one point in time may not reflect the effects associated with aging, which are more properly studied in cohorts. Cohort succession, aging, and period-specific historical events provide accounts of social and demographic change. Because cohort membership can be defined by age at a particular period, the statistical partitioning of age from period and cohort effects focuses attention on identifying restrictions. When applying statistical models to social data, identification issues are ubiquitous, so some of the debates that vexed the formative literature on age–period– cohort models can now be understood in a larger context. Four new articles on age–period–cohort modeling call attention to the multilevel nature of the problem and draw on advances in methods including nonparametric smoothing, fixed and random effects, and identification in structural or causal models.

Suggested Citation

  • Herbert L. Smith, 2008. "Advances in Age–Period–Cohort Analysis," Sociological Methods & Research, , vol. 36(3), pages 287-296, February.
    • Handle: RePEc:sae:somere:v:36:y:2008:i:3:p:287-296
    DOI: 10.1177/0049124107310636
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    References listed on IDEAS

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    1. Herbert L. Smith, 2003. "Some Thoughts on Causation as It Relates to Demography and Population Studies," Population and Development Review, The Population Council, Inc., vol. 29(3), pages 459-469, September.
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    Cited by:

    1. Phillips, Julie A., 2014. "A changing epidemiology of suicide? The influence of birth cohorts on suicide rates in the United States," Social Science & Medicine, Elsevier, vol. 114(C), pages 151-160.
    2. Eyal Bar-Haim & Louis Chauvel & Anne Hartung, 2018. "More Necessary and Less Sufficient: An Age-Period-Cohort Approach to Overeducation in Comparative Perspective," LIS Working papers 734, LIS Cross-National Data Center in Luxembourg.
    3. Whittaker, William & Birch, Stephen & MacKenzie, Adrian & Murphy, Gail Tomblin, 2016. "Cohort effects on the need for health care and implications for health care planning in Canada," Health Policy, Elsevier, vol. 120(1), pages 81-88.

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