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Stag hunt contests and alliance formation

Author

Listed:
  • James W. Boudreau

    (Kennesaw State University)

  • Lucas Rentschler

    (Utah State University)

  • Shane Sanders

    (Syracuse University)

Abstract

We consider a three-party game of conflict with potential alliance formation, introducing the concept of a stag hunt alliance and using the concept as a novel solution to the alliance formation puzzle in contests. In a stag hunt alliance, allied inputs interact as (multiplicative) complements in the contest success function, reflecting the idea that allied efforts are coordinated and targeted against non-allies. Allowing for asymmetry among conflicting parties, we find conditions for stable alliance formation and show that, in some circumstances, the formation of an alliance can improve the expected payoffs of both the allied and unallied parties relative to unallied conflict. At the same time, the expected payoffs of allied parties also can be greater than their payoffs under a three-party exogenous settlement division without conflict. Hence, the ability to form stag hunt alliances may not simply change conflict structures, but may sometimes generate conflict when settlements are possible. Our results depend on how allies divide the contest prize in the event of victory, and we consider both the case of exogenous division according to a pre-specified rule and endogenous division in a second-stage intra-alliance contest. We also show that the threat of the latter can be used to establish an intuitive exogenous rule by simple bargaining. Finally, we specify conditions that determine which parties choose to ally with one another.

Suggested Citation

  • James W. Boudreau & Lucas Rentschler & Shane Sanders, 2019. "Stag hunt contests and alliance formation," Public Choice, Springer, vol. 179(3), pages 267-285, June.
  • Handle: RePEc:kap:pubcho:v:179:y:2019:i:3:d:10.1007_s11127-018-0567-8
    DOI: 10.1007/s11127-018-0567-8
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    References listed on IDEAS

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    3. Aniruddha Bagchi & João Ricardo Faria & Timothy Mathews, 2019. "A model of a multilateral proxy war with spillovers," Public Choice, Springer, vol. 179(3), pages 229-248, June.
    4. Justin Ehrlich & Matthew Harmon & Shane Sanders, 2020. "The alliance formation puzzle in contests with capacity-constraints: A test using American football reception-coverage contest data," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-13, March.
    5. Shane Sanders, 2023. "Environmental Status Goods and Market-Based Conservation: An Arm of Ostrom’s Polycentric Approach?," Sustainability, MDPI, vol. 15(5), pages 1-9, February.
    6. Timothy Mathews & Shane Sanders, 2019. "Strategic and experimental analyses of conflict and terrorism," Public Choice, Springer, vol. 179(3), pages 169-174, June.

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    More about this item

    Keywords

    Alliance; Coalition; Conflict; Contest; Stag hunt; Free-ridership; Rent dissipation;
    All these keywords.

    JEL classification:

    • C71 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Cooperative Games
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • D74 - Microeconomics - - Analysis of Collective Decision-Making - - - Conflict; Conflict Resolution; Alliances; Revolutions

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