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Precedent in International Courts: A Network Analysis of Case Citations by the European Court of Human Rights

Published online by Cambridge University Press:  16 December 2011

Abstract

Why and how do international courts justify decisions with citations to their own case law? We argue that, like domestic review courts, international courts use precedent at least in part to convince ‘lower’ (domestic) courts of the legitimacy of judgements. Several empirical observations are consistent with this view, which are examined through a network analysis of European Court of Human Rights (ECtHR) citations. First, the Court cites precedent based on the legal issues in the case, not the country of origin. Second, the Court is more careful to embed judgements in its existing case law when the expected value of persuading domestic judges is highest. These findings contribute to a developing literature that suggests international and domestic review courts develop their authority in similar ways.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2011

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References

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54 Approximately 15.6 per cent of the ECtHR decisions are outside the main cluster (compared with 16.2 per cent in the USSC's network). Cases that cite no precedent would all have hub scores of zero. The Tobit model we use in our analysis is designed to address the fact that we have excluded such cases from our sample.

55 The excluded cases are those designated importance level 3 by the Court.

56 This article is only invoked in conjunction with other Convention rights, limiting its application since the Convention includes no socio-economic rights other than education. The optional Protocol 12 remedies this but is ratified by less than half of Council of Europe member states.

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83 In the only other paper we are aware of that used community detection algorithms on a network of judicial citations, Bommarito et al. found that the Newman method produced stable results when used on the network of USSC citations. They also found that this stability increased when using a smaller portion of the network, which is encouraging to our research, because the ECtHR network is significantly smaller than the USSC network (Bommarito et al., ‘On the Stability of Community Detection Algorithms for Longitudinal Citation Data’).

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