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Consensus Decisions and Similarity Measures in International Organizations

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  • Frank Häge
  • Simon Hug

Abstract

Voting behavior in international organizations, most notably in the United Nations General Assembly (UNGA), is often used to infer the similarity of foreign policy preferences of member states. Most of these measures ignore, however, that particular covoting patterns may appear simply by chance (Häge 2011) and that these patterns of agreement (or the absence thereof) are only observable if decisions are reached through roll-call votes. As the relative frequency of roll-call votes changes considerably over time in most international organizations, currently used similarity and affinity measures offer a misleading picture. Based on a complete data set of UNGA resolution decisions, we demonstrate how taking different forms of chance agreement and the relative prevalence of consensus decisions into account affects conclusions about the effect of the similarity of member states’ foreign policy positions on foreign aid allocation.

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  • Frank Häge & Simon Hug, 2016. "Consensus Decisions and Similarity Measures in International Organizations," International Interactions, Taylor & Francis Journals, vol. 42(3), pages 503-529, May.
    • Handle: RePEc:taf:ginixx:v:42:y:2016:i:3:p:503-529
    DOI: 10.1080/03050629.2016.1138107
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    Cited by:

    1. Oliver Pamp & Florian Dendorfer & Paul W. Thurner, 2018. "Arm your friends and save on defense? The impact of arms exports on military expenditures," Public Choice, Springer, vol. 177(1), pages 165-187, October.
    2. Tobias Risse, 2024. "External threats and state support for arms control," Journal of Peace Research, Peace Research Institute Oslo, vol. 61(2), pages 214-227, March.
    3. Joshua Fjelstul & Simon Hug & Christopher Kilby, 2022. "Decision-Making in the United Nations General Assembly: A Comprehensive Database of Resolutions, Decisions, and Votes," Villanova School of Business Department of Economics and Statistics Working Paper Series 56, Villanova School of Business Department of Economics and Statistics.

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