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Issue-based models of electoral choice differ in their cognitive requirements. We should thus expect more knowledgeable voters to be more likely to use relatively complex models. Differences in voter sophistication should therefore help to explain whether and how voters make use of issues in determining their vote choice. In this paper, we compare two models of issue voting: the classic Downsian proximity model and Kedar’s (2005) compensational model. The former model only requires voters to take into account their spatial closeness to parties; voters who follow the latter model also need information on the likely outcome that will result from their choice. We suggest that the less politically informed voters are more likely to follow the proximity model while the more politically informed might take into account expectations about what parties can realistically achieve. Moreover, the importance of knowledge may differ across party systems: the more complex the political environment, the greater the difference between highly sophisticated and less sophisticated voters should be. This paper addresses issues of political representation as it studies differences in voter understanding of policy outcomes both across individuals and across electoral contexts. We use CSES data to test this hypothesis cross-nationally. This data is particularly suited to this project as it includes knowledge questions and assessments of left-right party positions and is available for a large variety of political systems. This paper has implications for understanding the role of voter heterogeneity and spatial models in vote choice.
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(CSES)
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http://www.ecprnet.eu/conferences/general_conference/reykjavik/paper_details.asp?paperid=2179
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CSES-Bibliography
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Do knowledgeable voters take more complex decisions? Political sophistication and models of issue voting
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inproceedings
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6th ECPR General Conference
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Bibsonomy
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In 6th ECPR General Conference, 2011
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Comparative Study of Electoral Systems (CSES)
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2011
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CSES
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CSES_input2014
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CSES_pro
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checked
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inproceedings
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input2014
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