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Using old results to produce new solutions in age–period–cohort multiple classification models

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  • Robert M. O’Brien

    (University of Oregon)

Abstract

The best fitting solutions to the age–period–cohort multiple classification (APCMC) model lie on a line of solutions in multidimensional solution space. This means that there are an infinite number of best fitting solutions to an APCMC model. This paper uses that fact to show how researchers can find new solutions based on previously published solutions that are more consistent with theory and/or substantive research in a specific area of research. These results can refine and/or challenge the published research. Finally, the paper demonstrates how results from a previous study can be used to derive some important estimable functions that are true for any just identifying constrained solution to an APCMC model.

Suggested Citation

  • Robert M. O’Brien, 2020. "Using old results to produce new solutions in age–period–cohort multiple classification models," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(1), pages 111-124, February.
    • Handle: RePEc:spr:qualqt:v:54:y:2020:i:1:d:10.1007_s11135-019-00945-y
    DOI: 10.1007/s11135-019-00945-y
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    References listed on IDEAS

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    1. Andrew Bell & Kelvyn Jones, 2015. "Bayesian informative priors with Yang and Land’s hierarchical age–period–cohort model," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(1), pages 255-266, January.
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