Adaptively Rational Retrospective Voting

Author:

Bendor Jonathan1,Kumar Sunil1,Siegel David A.2

Affiliation:

1. Graduate School of Business, Stanford University,

2. Florida State University,

Abstract

Since the seminal work of Key (1966), Kramer (1971), and Nordhaus (1975), retrospective voting has been a major component of voting theory. However, although these views are alive empirically (Lewis-Beck and Stegmaier, 2000; Franzese, 2002; Hibbs, 2006), most theorizing assumes rational citizens. We suspect that Key had a less heroic view of voter cognition, and we formalize his verbal theory accordingly. Our model is based on two axioms: if an incumbent performed well (above voter A’s aspiration) then A becomes more likely to vote for the incumbent; A is less likely to do so if the incumbent performed poorly (below A’s aspiration). We then prove that such citizens, though lacking ideologies, endogenously develop partisan voting tendencies. This result is robust against perceptual errors (citizens evaluating an incumbent’s performance incorrectly). We also show that the best-informed voters, who perceive performance most accurately, are the most partisan.

Publisher

SAGE Publications

Subject

Sociology and Political Science

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The interplay of politics and space: How elected politicians shape place‐based policies and outcomes;The Geographical Journal;2024-05-22

2. Anger and Political Conflict Dynamics;American Political Science Review;2024-02-26

3. Dynamics of Polarization: Affective Partisanship and Policy Divergence;British Journal of Political Science;2022-12-02

4. Electoral Institutions with impressionable voters;Social Choice and Welfare;2022-05-07

5. Impressionable Voters;American Economic Journal: Microeconomics;2019-02-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3