Age-period-cohort models in Stata

In 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 functionality 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.


Issue Date:
2012
Publication Type:
Journal Article
DOI and Other Identifiers:
st0245 (Other)
Record Identifier:
http://ageconsearch.umn.edu/record/202123
PURL Identifier:
http://purl.umn.edu/202123
Published in:
Stata Journal, Volume 12, Number 1
Page range:
45-60
Total Pages:
18

Record appears in:



 Record created 2017-04-01, last modified 2018-01-23

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