EconPapers    
Economics at your fingertips  
 

Age–period–cohort models in Stata

Peter D. Sasieni ()
Additional contact information
Peter D. Sasieni: Queen Mary, University of London

Stata Journal, 2012, vol. 12, issue 1, 45-60

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.

Keywords: apcspline; grmean; age–period–cohort models (search for similar items in EconPapers)
Date: 2012
Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj12-1/st0245/
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.stata-journal.com/article.html?article=st0245 link to article purchase

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:tsj:stataj:v:12:y:2012:i:1:p:45-60

Ordering information: This journal article can be ordered from
http://www.stata-journal.com/subscription.html

Access Statistics for this article

Stata Journal is currently edited by Nicholas J. Cox and Stephen P. Jenkins

More articles in Stata Journal from StataCorp LLC
Bibliographic data for series maintained by Christopher F. Baum () and Lisa Gilmore ().

 
Page updated 2025-03-20
Handle: RePEc:tsj:stataj:v:12:y:2012:i:1:p:45-60