Impressionable Voters

Author:

Andonie Costel1,Diermeier Daniel2

Affiliation:

1. Harris School of Public Policy, The University of Chicago, 1155 East 60th Street, Chicago, IL 60637 (email: )

2. Office of the Provost, and Harris School of Public Policy, The University of Chicago, 5801 South Ellis Avenue, Chicago, IL 60637, Canadian Institute for Advanced Research, CIFAR Program on Institutions, Organizations, and Growth, and CIFAR, Toronto, ON M5G 1Z8 (email: )

Abstract

We propose a model of impressionable voters. Impressionable voters vote based on impressions rather than maximizing expected utility. We apply our model to elections with multiple candidates and solve for the stationary distributions of the implied stochastic process. In elections with two candidates, we find that impressionable voters select the candidate that maximizes utilitarian welfare. In multi-candidate elections, Condorcet winners are elected provided that a majority of voters is able to sufficiently distinguish competing candidates. In such cases, models with impressionable voters may have better normative properties than models with rational voters. (JEL D71, D72, D91)

Publisher

American Economic Association

Subject

General Economics, Econometrics and Finance

Cited by 8 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. Voter coordination in elections: A case for approval voting;Games and Economic Behavior;2024-07

2. Attentiveness in elections with impressionable voters;Public Choice;2024-04-01

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. Attentiveness in Elections With Impressionable Voters;SSRN Electronic Journal;2019

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