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Dynamic Modeling of Cohort Change: The Case of Political Partisanship

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Cohort Analysis in Social Research

Abstract

This article describes an alternative to typical cohort analysis procedures for modeling developmental processes using cohort data. The alternative strategy, a dynamic modeling approach, is illustrated by an analysis of trends in the strength of partisan identification in the United States 1952–1978. The proposed model accounts for observed Variation in partisan strength by age and cohort without any need to include those variables in the model itself.

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Author information

Authors and Affiliations

  1. Department of Political Science, The University of Michigan, USA

    Gregory B. Markus

Authors
  1. Gregory B. Markus
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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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Markus, G.B. (1985). Dynamic Modeling of Cohort Change: The Case of Political Partisanship. 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_8

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  • DOI: https://doi.org/10.1007/978-1-4613-8536-3_8

  • 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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