Dynamic Modeling of Cohort Change: The Case of Political Partisanship

Gregory B. Markus
Additional contact information
Gregory B. Markus: The University of Michigan, Department of Political Science

Chapter 8 in Cohort Analysis in Social Research, 1985, pp 259-287 from Springer

Abstract: 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.

Keywords: Period Effect; Cohort Effect; Cohort Analysis; American Sociological Review; American Political Science Review (search for similar items in EconPapers)
Date: 1985
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4613-8536-3_8

Ordering information: This item can be ordered from
http://www.springer.com/9781461385363

DOI: 10.1007/978-1-4613-8536-3_8

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().