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The New Rivalry Dataset: Procedures and Patterns

Author

Listed:
  • James P. Klein
  • Gary Goertz

    (Department of Political Science, University of Arizona)

  • Paul F. Diehl

    (Department of Political Science, University of Illinois at Urbana-Champaign)

Abstract

The 1990s saw the emergence of a new research agenda focused on enduring rivalries, longstanding competitions between the same pair of states. The original Diehl & Goertz dataset on international rivalries has been perhaps the most widely used collection to study those rivalries. Here, that dataset is extended through 2001, and additional criteria beyond the time-density approach are used to define a population of rivalries. In the first half of the article, the conceptual and operational bases on which the original rivalry collection was based are described. The article explores each of the dimensions of the rivalry concept and the associated operational criteria. The ‘linked conflict’ dimension of the rivalry concept is made more explicit in the discussion of rivalry dimensions. The article then presents and discusses all the major changes made vis-‡-vis the earlier rivalry collection. In the second half of the article, empirical analyses highlight the conceptual dimensions of rivalry. Particular attention is devoted to the issue of rivalry symmetry, with an investigation of rival power capabilities. In an analysis on the linked conflict dimension, the article examines war occurrence and sequence in rivalry (most of which occurs at or near the outset of the rivalry) as well as the outcome and waiting times between disputes. The article concludes with a comparison of this dataset to another prominent rivalry collection.

Suggested Citation

  • James P. Klein & Gary Goertz & Paul F. Diehl, 2006. "The New Rivalry Dataset: Procedures and Patterns," Journal of Peace Research, Peace Research Institute Oslo, vol. 43(3), pages 331-348, May.
    • Handle: RePEc:sae:joupea:v:43:y:2006:i:3:p:331-348
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    Cited by:

    1. Brandon Valeriano & Ryan C. Maness, 2018. "How We Stopped Worrying about Cyber Doom and Started Collecting Data," Politics and Governance, Cogitatio Press, vol. 6(2), pages 49-60.
    2. Gary Uzonyi & Toby Rider, 2017. "Determinants of Foreign Aid: Rivalry and Domestic Instability," International Interactions, Taylor & Francis Journals, vol. 43(2), pages 272-299, March.
    3. Mondré, Aletta, 2011. "Choosing a forum for peaceful dispute settlement," TranState Working Papers 153, University of Bremen, Collaborative Research Center 597: Transformations of the State.
    4. Gerald L. McCallister, 2016. "Beyond Dyads: Regional Democratic Strength’s Influence on Dyadic Conflict," International Interactions, Taylor & Francis Journals, vol. 42(2), pages 295-321, March.
    5. Bryce W. Reeder & Matthew R. Reeder, 2014. "Political Violence, Interstate Rivalry, and the Diffusion of Public Health Crises," Social Science Quarterly, Southwestern Social Science Association, vol. 95(4), pages 1101-1120, December.
    6. Michal Smetana & Jan Ludvík, 2019. "Between war and peace: a dynamic reconceptualization of “frozen conflicts”," Asia Europe Journal, Springer, vol. 17(1), pages 1-14, March.
    7. Andrew Boutton, 2014. "US foreign aid, interstate rivalry, and incentives for counterterrorism cooperation," Journal of Peace Research, Peace Research Institute Oslo, vol. 51(6), pages 741-754, November.

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