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Cited by 286

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Issues, Party Choices, and Presidential Votes

Jackson, John E.·1975·American Journal of Political Science

Abstract

This paper presents an alternative interpretation of the role played by issues and people's evaluations of the parties' positions on different issues in the electoral process. The statistical model presented and estimated in the paper departs from previous studies by hypothesizing a model in which people's issue positions, their evaluations of the parties' positions, and the strength of their party identifications are simultaneously related to each other and are thus endogenous to the electoral process. Expected votes are then determined by party evaluations. The model is estimated with data from the 1964 Election Study of the Survey Research Center. The most important influences are the effects of people's issue positions on their evaluations of the parties and the influence of these evaluations on party identifications and on voting decisions. The paper concludes by discussing the estimated model's implications for evaluations of the role of the electoral process in the determination of public policy.

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Metadata

Authors
Jackson, J. E.
Venue
American Journal of Political Science
Publisher
JSTOR
Published
1975-05
Volume
19
Issue
2
Pages
161
ISSN
0092-5853 (ISSN-L)
OpenAlex
W2322108073
Cited by
286
References
1
FWCI
47.47
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Issues, Party Choices, and Presidential Votes. https://app.cochat.ai/papers/10.2307/2110431
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Jackson, J. E. (1975). Issues, Party Choices, and Presidential Votes. American Journal of Political Science. https://doi.org/10.2307/2110431

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.