<p><p>"Only entropy comes easily" - Anton Chekhov</p> </p><p><p>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.</p> </p>
Authors
Research Associate University of Copenhagen
Martin is an IFS Research Associate, a Nuffield Senior Research Fellow and a Professor of Economics at the University of Oxford.
Ian Crawford
Marike Knoef
Working Paper details
- DOI
- 10.1920/wp.cem.2012.0212
- Publisher
- IFS
Suggested citation
M, Browning and I, Crawford and M, Knoef. (2012). The age-period cohort problem: set identification and point identification. London: IFS. Available at: https://ifs.org.uk/publications/age-period-cohort-problem-set-identification-and-point-identification (accessed: 28 March 2024).
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