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Conditions of proximity and directional voting: Voter sophistication, political information, and party identification

[journal article]

Tiemann, Guido

Abstract

This paper contributes to the debate among supporters of the proximity and the directional models of vote choice. It provides a two-fold contribution: first, I utilize a series of critical tests which allow for a straightforward identification of proximity and directional voters and the aggregation ... view more

This paper contributes to the debate among supporters of the proximity and the directional models of vote choice. It provides a two-fold contribution: first, I utilize a series of critical tests which allow for a straightforward identification of proximity and directional voters and the aggregation of the respective shares at the party, election, and country levels. Secondly, I focus on the reasons which reinforce these alternative or complimentary models. In comparison to the standard proximity model, directional voters are less educated and less informed. They are also more likely to select opposition parties and favor actors with somewhat unclear ideological platforms. At the election level, directional voting is also driven by party system polarization.... view less

Keywords
voting behavior; voter; political behavior; level of education; information-seeking behavior; party system; political direction

Classification
Political Process, Elections, Political Sociology, Political Culture

Free Keywords
spatial voting; proximity voting; directional voting; voter sophistication; political knowledge; CSES - Comparative Study of Electoral Systems

Document language
English

Publication Year
2022

Page/Pages
p. 1-8

Journal
Electoral Studies, 75 (2022)

DOI
https://doi.org/10.1016/j.electstud.2021.102436

ISSN
0261-3794

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution 4.0


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Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.