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Partisanship, Political Awareness, and Retrospective Evaluations, 1956–2016

  • Philip Edward JonesEmail author
Original Paper

Abstract

A long line of research shows that voters frequently evaluate objective conditions through a perceptual screen, seeing a stronger economy and more peaceful world when their party is in power. We know less about how and why these partisan perceptual differences have changed over recent history, however. This paper combines ANES measures of retrospective evaluations from 1956 to 2016 and shows that partisan differences (1) have increased significantly over the past few decades across all types of assessments; (2) are greatest, and have changed the most, amongst the most politically aware; and (3) closely track changes in elite polarization over this time period. The extent of partisan disagreement in retrospective evaluations is thus not constant, but rather contingent on attributes of the voter and the political context. Greater political awareness and more polarized politicians result in larger partisan perceptual differences, as the most engaged citizens are the most likely to receive and internalize cues about the state of the world from their party’s elites.

Keywords

Retrospective evaluations Partisanship Political awareness 

Notes

Acknowledgements

I am grateful to Andrew Reeves and Edward Burmila for advice and encouragement on early versions of this project, and to the journal’s five anonymous reviewers for feedback that improved the quality of this work significantly. All errors, of course, remain my own. Data and code to replicate the results in this article are available at https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/59NTIL.

Supplementary material

11109_2019_9543_MOESM1_ESM.pdf (690 kb)
Supplementary material 1 (pdf 689 KB)

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Political Science and International RelationsUniversity of DelawareNewarkUSA

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