Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/64757 
Year of Publication: 
2012
Series/Report no.: 
cemmap working paper No. CWP02/12
Publisher: 
Centre for Microdata Methods and Practice (cemmap), London
Abstract: 
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.
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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