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Reciprocity, Bullying, and International Cooperation: Time-series Analysis of the Bosnia Conflict

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  • Goldstein, Joshua S.
  • Pevehouse, Jon C.

Abstract

Although the role of reciprocity in international cooperation is central to neoliberal institutionalism, empirical understanding of the concept remains weak. We analyze strategic response patterns—the use of reciprocity or inverse response (bullying)—in the Bosnia conflict from 1992 to 1995. We construct weekly time series of conflict and cooperation among the parties to the Bosnia war, using machine-coded events data. Time-series statistical analysis identifies several important patterns of strategic response, both reciprocal and inverse. These include bilateral responses, which are central to the concepts of reciprocity and evolution of cooperation, and triangular responses, which are central to the debates on containment versus accommodation in regional conflicts. Specifically, Serb forces displayed inverse triangular response, cooperating toward Bosnia after being punished by NATO. Outside powers displayed triangular reciprocity, increasing hostility toward Serb forces after Serbian attacks on the Bosnian government.

Suggested Citation

  • Goldstein, Joshua S. & Pevehouse, Jon C., 1997. "Reciprocity, Bullying, and International Cooperation: Time-series Analysis of the Bosnia Conflict," American Political Science Review, Cambridge University Press, vol. 91(3), pages 515-529, September.
  • Handle: RePEc:cup:apsrev:v:91:y:1997:i:03:p:515-529_21
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    Cited by:

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    3. Ruhe, Constantin, 2012. "Predicting atrocities. Statistically modeling violence against civilians during civil war," NEPS Working Papers 7/2012, Network of European Peace Scientists.
    4. Philip A. Schrodt & Deborah J. Gerner, 2004. "An Event Data Analysis of Third-Party Mediation in the Middle East and Balkans," Journal of Conflict Resolution, Peace Science Society (International), vol. 48(3), pages 310-330, June.
    5. Brandt, Patrick T. & Freeman, John R. & Schrodt, Philip A., 2014. "Evaluating forecasts of political conflict dynamics," International Journal of Forecasting, Elsevier, vol. 30(4), pages 944-962.
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    8. Patrick T. Brandt & John R. Freeman & Philip A. Schrodt, 2011. "Real Time, Time Series Forecasting of Inter- and Intra-State Political Conflict," Conflict Management and Peace Science, Peace Science Society (International), vol. 28(1), pages 41-64, February.
    9. Stephen M. Shellman, 2006. "Leaders' Motivations and Actions: Explaining Government-Dissident Conflict-Cooperation Processes," Conflict Management and Peace Science, Peace Science Society (International), vol. 23(1), pages 73-90, February.
    10. M. Joseph Sirgy & Richard J. Estes & Don R. Rahtz, 2018. "Combatting Jihadist Terrorism: A Quality-of-Life Perspective," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 13(4), pages 813-837, December.
    11. Stephen M. Shellman & Brandon M. Stewart, 2007. "Political Persecution or Economic Deprivation? A Time-Series Analysis of Haitian Exodus, 1990—2004," Conflict Management and Peace Science, Peace Science Society (International), vol. 24(2), pages 121-137, April.
    12. Mintz Alex & Heo Uk, 2014. "Triads in International Relations: The Effect of Superpower Aid, Trade, and Arms Transfers on Conflict in the Middle East," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 20(3), pages 441-459, August.

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