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Cited by 485

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

A Theory of Political Ambition: Career Choices and the Role of Structural Incentives

Black, Gordon S.·1972·American Political Science Review

Abstract

Office-holders periodically face the problem of choosing among a set of career alternatives, and these alternatives customarily include the choice of dropping out of political life, or seeking reelection, or of choosing to seek higher office. This paper assumes that officeholders behave according to a rational calculus in making such choices, and that the main elements involved in the choice process include the probabilities and values attached by the candidate to his alternatives, and the investments required to obtain these alternatives. Political ambition, or the desire to seek higher office, is shown to develop as a product of the investments that politicians make in their political careers, and the investments are shown to be associated with the structural characteristics of community size and electoral competitiveness. The subjects of the research are 435 city councilmen from 89 cities of the San Francisco Bay Region, and the data include information derived from interviews with the councilmen and aggregate election data collected on each city.

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Metadata

Authors
Black, G. S.
Venue
American Political Science Review
Published
1972-03
Volume
66
Issue
1
Pages
144-159
ISSN
  • 0003-0554 (ISSN-L)
  • 1537-5943
OpenAlex
W2105009130
Cited by
485
References
4
FWCI
52.88
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Theory of Political Ambition: Career Choices and the Role of Structural Incentives. https://app.cochat.ai/papers/10.2307/1959283
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Black, G. S. (1972). A Theory of Political Ambition: Career Choices and the Role of Structural Incentives. American Political Science Review. https://doi.org/10.2307/1959283

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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.