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Age–period–cohort models in Stata

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  • Peter D. Sasieni

    ()
    (Queen Mary, University of London)

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    Abstract

    n this article, I describe and illustrate Stata programs that facilitate i) the fitting of smooth age–period–cohort models to event data and ii) the plotting of observed and fitted rates. The programs include postestimation functional- ity and flexibility to fit models not possible using Stata’s glm command. What distinguishes this article from a recent Stata Journal article on age–period–cohort models by Rutherford, Lambert, and Thompson (2010, Stata Journal 10: 606–627) is that the emphasis here is on extrapolating the model fit to make projections into the future. Copyright 2012 by StataCorp LP.

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    Bibliographic Info

    Article provided by StataCorp LP in its journal Stata Journal.

    Volume (Year): 12 (2012)
    Issue (Month): 1 (March)
    Pages: 45-60

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    Handle: RePEc:tsj:stataj:v:12:y:2012:i:1:p:45-60

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    Related research

    Keywords: apcspline; grmean; age–period–cohort models;

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