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Cited by 292

The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.

The Political Economy of Institutions and Corruption in American States

Open access
Alt, James E., Lassen, David Dreyer·2003·Journal of Theoretical Politics

Abstract

Theoretically, this article draws on political agency theory to formulate hypotheses. Empirically, it shows that political institutions have a role in explaining the prevalence of political corruption in American states. In the states, a set of democracies where the rule of law is relatively well established and the confounding effects of differing electoral systems and regimes are absent, institutional variables relating to the openness of the political system inhibit corruption. That is, other things equal, the extent to which aspiring politicians can enter and gain financial backing, and to which voters can focus their votes on policies and thereby hold incumbent politicians accountable for policy outcomes and find substitutes for them if dissatisfied with those outcomes, reduce corruption as a general problem of agency. These institutional effects are estimated in the presence of controls for variables representing other approaches.

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Metadata

Authors
Alt, J. E., & Lassen, D. D.
Venue
Journal of Theoretical Politics
Published
2003-07
Volume
15
Issue
3
Pages
341-365
ISSN
  • 0951-6298 (ISSN-L)
  • 1460-3667
OpenAlex
W1577114345
Cited by
292
References
61
FWCI
21.84
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The Political Economy of Institutions and Corruption in American States. https://app.cochat.ai/papers/10.1177/0951692803015003006
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Alt, J. E., & Lassen, D. D. (2003). The Political Economy of Institutions and Corruption in American States. Journal of Theoretical Politics. https://doi.org/10.1177/0951692803015003006

Data sources

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.