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Experiments on the Microfoundations of Retrospective Voting

Published online by Cambridge University Press:  26 May 2023

Austin Ray Hart
Affiliation:
School of International Service, American University
J Scott Matthews
Affiliation:
Department of Political Science, Memorial University of Newfoundland

Summary

Conventional models of voting behavior depict individuals who judge governments for how the world unfolds during their time in office. This phenomenon of retrospective voting requires that individuals integrate and appraise streams of performance information over time. Yet past experimental studies short-circuit this 'integration-appraisal' process. In this Element, we develop a new framework for studying retrospective voting and present eleven experiments building on that framework. Notably, when we allow integration and appraisal to unfold freely, we find little support for models of 'blind retrospection.' Although we observe clear recency bias, we find respondents who are quick to appraise and who make reasonable use of information cues. Critically, they regularly employ benchmarking strategies to manage complex, variable, and even confounded streams of performance information. The results highlight the importance of centering the integration-appraisal challenge in both theoretical models and experimental designs and begin to uncover the cognitive foundations of retrospective voting.
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  • Austin Ray Hart, School of International Service, American University, J Scott Matthews, Department of Political Science, Memorial University of Newfoundland
  • Online ISBN: 9781009357005
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  • Austin Ray Hart, School of International Service, American University, J Scott Matthews, Department of Political Science, Memorial University of Newfoundland
  • Online ISBN: 9781009357005
Available formats
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Quality Control
  • Austin Ray Hart, School of International Service, American University, J Scott Matthews, Department of Political Science, Memorial University of Newfoundland
  • Online ISBN: 9781009357005
Available formats
×