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Comparing Measures of Political Similarity

Author

Listed:
  • D. Scott Bennett

    (Department of Political Science Pennsylvania State University)

  • Matthew C. Rupert

    (Department of Political Science Pennsylvania State University)

Abstract

Signorino and Ritter developed and advocated a new measure of the political similarity of states ( S ). They demonstrated logical flaws associated with the common Kendall's Ï„ b -based alliance similarity measure and showed that using S may yield quite different similarity estimates. But without a broader empirical comparison and analysis using S , the full empirical ramifications of this difference is not known. In this study, a comparison of S versus Ï„ b is conducted over a wide spatial and temporal domain, examining the relationship between S , Ï„ b , expected utility scores, and conflict. Despite significant positive correlations, important differences in the distribution of S and Ï„ b -based measures of alliance similarity are found. It should not be assumed that the measures are substitutable. Reanalysis of an important expected utility theory of war shows a stronger relationship between equilibrium predictions and conflict when S is used versus Ï„ b .

Suggested Citation

  • D. Scott Bennett & Matthew C. Rupert, 2003. "Comparing Measures of Political Similarity," Journal of Conflict Resolution, Peace Science Society (International), vol. 47(3), pages 367-393, June.
    • Handle: RePEc:sae:jocore:v:47:y:2003:i:3:p:367-393
    DOI: 10.1177/0022002703252370
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    References listed on IDEAS

    as
    1. D. Scott Bennett & Allan C. Stam, 2000. "Eugene : A conceptual manual," International Interactions, Taylor & Francis Journals, vol. 26(2), pages 179-204, March.
    2. de Mesquita, Bruce Bueno, 1985. "The War Trap Revisited: A Revised Expected Utility Model," American Political Science Review, Cambridge University Press, vol. 79(1), pages 156-177, March.
    3. Signorino, Curtis S., 1999. "Strategic Interaction and the Statistical Analysis of International Conflict," American Political Science Review, Cambridge University Press, vol. 93(2), pages 279-297, June.
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