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Cited by 263

The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.

Legitimizing Dispute Settlement: International Legal Rulings as Domestic Political Cover

ALLEE, TODD L., HUTH, PAUL K.·2006·American Political Science Review

Abstract

We develop and test a general argument about the conditions under which state leaders are most likely to choose legal dispute resolution over bilateral negotiations as a means to settle international disputes. Our central claim is that leaders who anticipate significant domestic audience costs for the making of voluntary, negotiated concessions are likely to seek the “political cover” of an international legal ruling. In such cases, it will be easier for leaders to justify the making of concessions if they are mandated as part of a ruling by an international court or arbitration body. We test a series of domestic-level hypotheses using a dataset comprised of nearly 1,500 rounds of talks concerning disputed territorial claims. Our multivariate analyses indicate that state leaders opt for legal dispute resolution when they are highly accountable to domestic political opposition, as well as when the dispute is highly salient to domestic audiences.

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Metadata

Authors
ALLEE, T. L., & HUTH, P. K.
Venue
American Political Science Review
Published
2006-05
Volume
100
Issue
2
Pages
219-234
ISSN
  • 0003-0554 (ISSN-L)
  • 1537-5943
OpenAlex
W2153504533
Cited by
263
References
29
FWCI
49.07
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Legitimizing Dispute Settlement: International Legal Rulings as Domestic Political Cover. https://app.cochat.ai/papers/10.1017/s0003055406062125
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ALLEE, T. L., & HUTH, P. K. (2006). Legitimizing Dispute Settlement: International Legal Rulings as Domestic Political Cover. American Political Science Review. https://doi.org/10.1017/s0003055406062125

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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.