Simulating Models of Issue Voting |
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Authors: | Macdonald, Stuart Elaine Rabinowitz, George Listhaug, Ola |
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Affiliation: | Department of Political Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-3265 e-mail: macdonald{at}unc.edu |
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Abstract: | Ola ListhaugDepartment of Sociology and Political Science, Norwegian University of Science and Technology, N-7491 Trondheim, Norway e-mail: olal{at}svt.ntnu.no e-mail: rabinowitz{at}unc.edu (corresponding author) How should one analyze data when the underlying models beingtested are statistically intractable? In this article, we offera simulation approach that involves creating sets of artificialdata with fully known generating models that can be meaningfullycompared to real data. The strategy depends on constructingsimulations that are well matched to the data against whichthey will be compared. Our particular concern is to considerconcurrently how voters place parties on issue scales and howthey evaluate parties based on issues. We reconsider the Lewisand King (2000) analysis of issue voting in Norway. The simulationfindings resolve the ambiguity that Lewis and King report, asvoters appear to assimilate and contrast party placements andto evaluate parties directionally. The simulations also providea strong caveat against the use of individually perceived partyplacements in analyses of issue voting. |
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