| Authors: | Martin Browning, Ian Crawford and Marike Knoef |
| Date: | 23 January 2012 |
| Type: | cemmap Working Papers, CWP02/12 |
| doi: | 10.1920/wp.cem.2012.0212 |
"Only entropy comes easily" - Anton Chekhov
Various methods have been used to overcome the point identification problem inherent in the linear age-period-cohort model. This paper presents a set-identification result for the model and then considers the use of the maximum-entropy principle as a vehicle for achieving point identification. We present two substantive applications (US female mortality data and UK female labor force participation) and compare the results from our approach to some of the solutions in the literature.