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Specification and Implementation of Age, Period and Cohort Models

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Book cover Cohort Analysis in Social Research

Abstract

For the past 80 years or more, social scientists have attempted to analyze cross-time data, using as explanatory variables age and time (or phenomena that are time-specific). When such data are analyzed in aggregate forms, age and time are typically grouped and polytomized. More recently, some investigators have adopted an analytic focus in which cohort membership, as defined by the period and age at which an individual Observation can first enter an age-by-period data array, is held to be more important than age or period for substantive understanding. This focus has led to age-cohort and period-cohort models, as distinguished from age-period models.

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Author information

Authors and Affiliations

  1. Departments of Statistics and Social Sciences, Carnegie-Mellon University, USA

    Stephen E. Fienberg

  2. Department of Sociology and the Population Studies Center, The University of Michigan, USA

    William M. Mason

Authors
  1. Stephen E. Fienberg
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  2. William M. Mason
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Editor information

Editors and Affiliations

  1. The Population Studies Center, University of Michigan, 48104, Ann Arbor, Michigan, USA

    William M. Mason

  2. Department of Statistics, Carnegie-Mellon University, 15213, Pittsburgh, Pennsylvania, USA

    Stephen E. Fienberg

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© 1985 Springer-Verlag New York Inc.

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Fienberg, S.E., Mason, W.M. (1985). Specification and Implementation of Age, Period and Cohort Models. In: Mason, W.M., Fienberg, S.E. (eds) Cohort Analysis in Social Research. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-8536-3_3

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  • DOI: https://doi.org/10.1007/978-1-4613-8536-3_3

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4613-8538-7

  • Online ISBN: 978-1-4613-8536-3

  • eBook Packages: Springer Book Archive

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