Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 569

The DOI matches its Crossref record.

The Optimal Design of International Trade Institutions: Uncertainty and Escape

Rosendorff, B. Peter, Milner, Helen V.·2001·International Organization

Abstract

International institutions that include an escape clause generate more durable and stable cooperative international regimes and are easier to achieve ex ante. The escape clause is endogenous in a model of repeated trade-barrier setting in the presence of symmetric, two-sided, political uncertainty. They permit, along the equilibrium path, countries to temporarily deviate from their obligations in periods of excessive, unexpected political pressure at some prenegotiated cost. The architects of international agreements optimally choose a cost so that escape clauses are neither too cheap to use (encouraging frequent recourse, effectively reducing the benefits of cooperation) nor too expensive (making their use rare and increasing the chance of systemic breakdown). The international institution's crucial role is to provide information, verifying that the self-enforcing penalty has been paid (voluntarily), rather than to coerce payment. Escape clauses also make agreements easier to reach initially. Their flexibility reassures states that the division of the long-term gains from the agreement is not immutable.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1162/002081801317193619

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 569

Metadata

Authors
Rosendorff, B. P., & Milner, H. V.
Venue
International Organization
Published
2001
Volume
55
Issue
4
Pages
829-857
ISSN
  • 0020-8183 (ISSN-L)
  • 1531-5088
OpenAlex
W3125569413
Cited by
569
References
0
FWCI
61.73
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The Optimal Design of International Trade Institutions: Uncertainty and Escape. https://app.cochat.ai/papers/10.1162/002081801317193619
The paper
Rosendorff, B. P., & Milner, H. V. (2001). The Optimal Design of International Trade Institutions: Uncertainty and Escape. International Organization. https://doi.org/10.1162/002081801317193619

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.