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Waging simple wars: a complete characterization of two-battlefield Blotto equilibria

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We analyze the strategic allocation of resources across two contests as in the canonical Colonel Blotto game. In the games we study, two players simultaneously allocate their forces across two fields of battle. The larger force on each battlefield wins that battle, and the payoff to a player is the sum of the values of battlefields won. We completely characterize the set of Nash equilibria of all two-battlefield Blotto games and provide the unique equilibrium payoffs. We also show how to extend our characterization to cover previously unstudied games with nonlinear resource constraints. Copyright Springer-Verlag Berlin Heidelberg 2015

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  • Scott Macdonell & Nick Mastronardi, 2015. "Waging simple wars: a complete characterization of two-battlefield Blotto equilibria," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 58(1), pages 183-216, January.
  • Handle: RePEc:spr:joecth:v:58:y:2015:i:1:p:183-216
    DOI: 10.1007/s00199-014-0807-1
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    1. Hortala-Vallve, Rafael & Llorente-Saguer, Aniol, 2010. "A simple mechanism for resolving conflict," Games and Economic Behavior, Elsevier, vol. 70(2), pages 375-391, November.
    2. Brian Roberson & Dmitriy Kvasov, 2012. "The non-constant-sum Colonel Blotto game," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 51(2), pages 397-433, October.
    3. Subhasish Chowdhury & Dan Kovenock & Roman Sheremeta, 2013. "An experimental investigation of Colonel Blotto games," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 52(3), pages 833-861, April.
    4. Dan Kovenock & Brian Roberson, 2012. "Coalitional Colonel Blotto Games with Application to the Economics of Alliances," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 14(4), pages 653-676, August.
    5. MichelLe Breton & Vera Zaporozhets, 2010. "Sequential Legislative Lobbying under Political Certainty," Economic Journal, Royal Economic Society, vol. 120(543), pages 281-312, March.
    6. Arad, Ayala & Rubinstein, Ariel, 2012. "Multi-dimensional iterative reasoning in action: The case of the Colonel Blotto game," Journal of Economic Behavior & Organization, Elsevier, vol. 84(2), pages 571-585.
    7. Sergiu Hart, 2008. "Discrete Colonel Blotto and General Lotto games," International Journal of Game Theory, Springer;Game Theory Society, vol. 36(3), pages 441-460, March.
    8. Coughlin, Peter J, 1992. "Pure Strategy Equilibria in a Class of Systems Defense Games," International Journal of Game Theory, Springer;Game Theory Society, vol. 20(3), pages 195-210.
    9. Russell Golman & Scott Page, 2009. "General Blotto: games of allocative strategic mismatch," Public Choice, Springer, vol. 138(3), pages 279-299, March.
    10. Brian Roberson, 2006. "The Colonel Blotto game," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 29(1), pages 1-24, September.
    11. Dan Kovenock & Brian Roberson, 2010. "Conflicts with Multiple Battlefields," Purdue University Economics Working Papers 1246, Purdue University, Department of Economics.
    12. Caroline D. Thomas, 2009. "N-Dimensional Blotto Game with Asymmetric Battlefield Values," Department of Economics Working Papers 130116, The University of Texas at Austin, Department of Economics, revised Dec 2016.
    13. Szentes, Balazs & Rosenthal, Robert W., 2003. "Three-object two-bidder simultaneous auctions: chopsticks and tetrahedra," Games and Economic Behavior, Elsevier, vol. 44(1), pages 114-133, July.
    14. Laslier, Jean-Francois & Picard, Nathalie, 2002. "Distributive Politics and Electoral Competition," Journal of Economic Theory, Elsevier, vol. 103(1), pages 106-130, March.
    15. Alexander Matros, 2007. "A Blotto Game with Incomplete Information," Working Paper 332, Department of Economics, University of Pittsburgh, revised Jul 2009.
    16. Nicolas Sahuguet & Nicola Persico, 2006. "Campaign spending regulation in a model of redistributive politics," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 28(1), pages 95-124, May.
    17. Jennifer Merolla & Michael Munger & Michael Tofias, 2005. "In Play: A Commentary on Strategies in the 2004 U.S. Presidential Election," Public Choice, Springer, vol. 123(1), pages 19-37, April.
    18. Dan Kovencok & Michael J. Mauboussin & Brian Roberson, 2010. "Asymmetric Conflicts with Endogenous Dimensionality," Korean Economic Review, Korean Economic Association, vol. 26, pages 287-305.
    19. Colantoni, Claude S. & Levesque, Terrence J. & Ordeshook, Peter C., 1975. "Campaign Resource Allocations Under the Electoral College," American Political Science Review, Cambridge University Press, vol. 69(1), pages 141-154, March.
    20. Adamo, Tim & Matros, Alexander, 2009. "A Blotto game with Incomplete Information," Economics Letters, Elsevier, vol. 105(1), pages 100-102, October.
    21. Powell, Robert, 2009. "Sequential, nonzero-sum "Blotto": Allocating defensive resources prior to attack," Games and Economic Behavior, Elsevier, vol. 67(2), pages 611-615, November.
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    Cited by:

    1. Subhasish M Chowdhury & Dan Kovenock & David Rojo Arjona & Nathaniel T Wilcox, 2021. "Focality and Asymmetry in Multi-Battle Contests," The Economic Journal, Royal Economic Society, vol. 131(636), pages 1593-1619.
    2. Dan Kovenock & Brian Roberson & Roman M. Sheremeta, 2019. "The attack and defense of weakest-link networks," Public Choice, Springer, vol. 179(3), pages 175-194, June.
    3. Li, Xinmi & Zheng, Jie, 2022. "Pure strategy Nash Equilibrium in 2-contestant generalized lottery Colonel Blotto games," Journal of Mathematical Economics, Elsevier, vol. 103(C).
    4. Raphael Boleslavsky & Christopher Cotton, 2018. "Limited capacity in project selection: competition through evidence production," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 65(2), pages 385-421, March.
    5. Dan Kovenock & Brian Roberson, 2015. "The Optimal Defense of Network Connectivity," Working Papers 15-24, Chapman University, Economic Science Institute.
    6. Dan Kovenock & Brian Roberson, 2021. "Generalizations of the General Lotto and Colonel Blotto games," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 71(3), pages 997-1032, April.
    7. Dan Kovenock & Brian Roberson, 2018. "The Optimal Defense Of Networks Of Targets," Economic Inquiry, Western Economic Association International, vol. 56(4), pages 2195-2211, October.
    8. Dmitry Dagaev & Andrey Zubanov, 2022. "Round-robin tournaments with limited resources," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 59(3), pages 525-583, October.
    9. Cortes-Corrales, Sebastián & Gorny, Paul M., 2018. "Generalising Conflict Networks," MPRA Paper 90001, University Library of Munich, Germany.
    10. Kostyantyn Mazur, 2017. "A Partial Solution to Continuous Blotto," Papers 1706.08479, arXiv.org, revised Sep 2017.

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    More about this item

    Keywords

    Colonel Blotto game; Zero-sum game; Warfare; All-pay auction; Multi-unit auction; C72; H56; D7;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • H56 - Public Economics - - National Government Expenditures and Related Policies - - - National Security and War
    • D7 - Microeconomics - - Analysis of Collective Decision-Making

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