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The Bayesian Voter: The Dynamics of Information and Learning in a Presidential Election Campaign

Alvarez, R. Michael (1993) The Bayesian Voter: The Dynamics of Information and Learning in a Presidential Election Campaign. Social Science Working Paper, 857. California Institute of Technology , Pasadena, CA. (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20170823-163841669

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Abstract

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Item Type:Report or Paper (Working Paper)
Additional Information:Paper presented at the Annual Meetings of the American Political Science Association, Washington D.C., September 1993. John Aldrich, Robert Bates, John Brehm, David Canon, and Peter Lange all provided very helpful advice about this research. I thank Thomas Patterson for access to his content analysis of the 1976 presidential election.
Group:Social Science Working Papers
Series Name:Social Science Working Paper
Issue or Number:857
Record Number:CaltechAUTHORS:20170823-163841669
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20170823-163841669
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:80753
Collection:CaltechAUTHORS
Deposited By: Jacquelyn Bussone
Deposited On:30 Aug 2017 18:41
Last Modified:03 Oct 2019 18:34

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