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Deviance analysis of age-period-cohort models

Author

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  • Bent Nielsen

    (Nuffield College and Dept of Economics)

Abstract

Age-period-cohort models for Lexis diagrams are considered. The identi - cation problem is addressed by reparametrizing the models in terms of freely varying parameters. The reparametrisation covers all three Lexis diagrams. A new plot of the unidenti ed time e ects is suggested and interpreted. Deviance analysis covering a wide range of sub-models is presented. The methods are applied to Belgian lung cancer data.

Suggested Citation

  • Bent Nielsen, 2014. "Deviance analysis of age-period-cohort models," Economics Papers 2014-W03, Economics Group, Nuffield College, University of Oxford.
    • Handle: RePEc:nuf:econwp:1403
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    File URL: http://www.nuffield.ox.ac.uk/economics/papers/2014/apc_deviance.pdf
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    References listed on IDEAS

    as
    1. D. Kuang & B. Nielsen & J. P. Nielsen, 2008. "Forecasting with the age-period-cohort model and the extended chain-ladder model," Biometrika, Biometrika Trust, vol. 95(4), pages 987-991.
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    Cited by:

    1. Weidong Ji & Na Xie & Daihai He & Weiming Wang & Hui Li & Kai Wang, 2019. "Age-Period-Cohort Analysis on the Time Trend of Hepatitis B Incidence in Four Prefectures of Southern Xinjiang, China from 2005 to 2017," IJERPH, MDPI, vol. 16(20), pages 1-17, October.
    2. Zoë Fannon & Christiaan Monden & Bent Nielsen, 2018. "Age-period-cohort modelling and covariates, with an application to obesity in England 2001-2014," Economics Papers 2018-W05, Economics Group, Nuffield College, University of Oxford.

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