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Connecting Micro- and Macropartisanship

  • John E. Jackson (a1) and Ken Kollman (a1)
Abstract

This paper extends models of micro- and macropartisanship in two ways. It first develops a model of individual partisanship that accommodates changes in partisan utilities. Achen's Bayesian partisan updating is a special case of our model. This more general micromodel is then aggregated to create a model of macropartisanship. This macromodel is a more general version of the models of macropartisanship estimated by various authors. The less restricted version incorporates possible individual and temporal heterogeneity. We present an example using real data that offers a possible way to estimate the parameters in the full aggregate model.

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e-mail: jjacksn@umich.edu
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This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.

Christopher H. Achen 1992. Social psychology, demographic variables, and linear regression: Breaking the iron triangle in voting research. Political Behavior 14: 195211.

Nathaniel Beck . 1983. Time-varying parameter regression models. American Journal of Political Science 27: 557600.

Adam J. Berinsky , and Jeffrey B. Lewis 2007. An estimate of risk aversion in the U. S. electorate. Quarterly Journal of Political Science 2: 139–54.

Janet M. Box-Steffensmeier , and Suzanna De Boef . 2001. Macropartisanship and macroideology in the sophisticated electorate. The Journal of Politics 63: 232–48.

Patrick T. Brandt , and John R. Freeman 2009. Modeling macro-political dynamics. Political Analysis 17: 113–42.

Matthew J. Lebo , and Janet M. Box-Steffensmeier 2008. Dynamic conditional correlations in political science. American Journal of Political Science 52: 688704.

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Political Analysis
  • ISSN: 1047-1987
  • EISSN: 1476-4989
  • URL: /core/journals/political-analysis
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