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Does WTO Dispute Settlement Enforce or Inform?

Published online by Cambridge University Press:  17 June 2013

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Abstract

Whereas some researchers emphasize how World Trade Organization (WTO) dispute settlement reduces complexity and clarifies legislation, others argue that dispute rulings promote co-operation by providing an enforcement mechanism. This article identifies empirical implications from these distinct arguments and tests them on WTO disputes from 1995 to 2006. The study's analytical approach combines a three-step coding of dispute escalation with a strategic bargaining model and statistical backwards induction to account for governments’ forward-looking behavior. It finds strong support for the argument that WTO dispute settlement primarily serves as an enforcement device. It finds much less support for the argument that dispute settlement reduces complexity and clarifies trade law. These results suggest that the role of WTO dispute settlement in generating information on acceptable trade policy standards is less relevant than proponents of the complexity argument tend to assume.

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Articles
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Copyright © Cambridge University Press 2013 
Figure 0

Fig. 1The dispute bargaining game

Figure 1

Table 1Theoretical Concepts and Explanatory Variables

Figure 2

Table 2Descriptive Statistics: Dispute Characteristics

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Table 3Descriptive Statistics: Other Independent Variables

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Table 4Strategic Model of Dispute Resolution

Figure 5

Fig. 2Difference in predicted probabilities for lower political stakes and higher political stakes disputes that a particular outcome occursNote: the ‘strategic’ government is forward looking. The ‘naive’ government only considers the current stage of the WTO DSM. Bootstrapped confidence intervals are based on 10,000 draws.

Figure 6

Fig. 3Difference in predicted probabilities for complex and non-complex disputes that a particular outcome occursNote: the ‘strategic’ government is forward looking. The ‘naive’ government only considers the current stage of the WTO DSM. Bootstrapped confidence intervals are based on 10,000 draws.

Supplementary material: File

Sattler Supplementary Material

Appendix

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