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On the Computation of Stability in Multiple Coalition Formation Games

Author

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  • M Sáiz
  • Eligius Hendrix
  • Niels Olieman

Abstract

In non-cooperative models of coalition formation, players have to decide whether or not to participate in a coalition (alliance). Game theoretic analyses of the formation of alliances in games with externalities, stress the difficulties in designing self-enforcing treaties because of free-riding. The presence of a strong free-rider incentive prevents most alliances of being stable and/or effective. This paper focuses on computing stability in a game on multiple coalition formation with membership rules and different transfer schemes. A new mathematical programming notation for game theory concepts is outlined. To compute stability, the new notation is used for implementation into computer coding. Implementation and computation aspects are discussed. Numerical illustration of the algorithm shows that stability varies with the applied membership rules and transfer schemes. An application of coalition formation to International Environmental Agreements (lEAs) is provided. Copyright Springer Science+Business Media, Inc. 2006

Suggested Citation

  • M Sáiz & Eligius Hendrix & Niels Olieman, 2006. "On the Computation of Stability in Multiple Coalition Formation Games," Computational Economics, Springer;Society for Computational Economics, vol. 28(3), pages 251-275, October.
    • Handle: RePEc:kap:compec:v:28:y:2006:i:3:p:251-275
    DOI: 10.1007/s10614-006-9047-1
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    References listed on IDEAS

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    Cited by:

    1. Marta Biancardi & Giovanni Villani, 2010. "International Environmental Agreements with Asymmetric Countries," Computational Economics, Springer;Society for Computational Economics, vol. 36(1), pages 69-92, June.
    2. Andrew Dowell & Michael Wooldridge & Peter McBurney, 2007. "The Computational Difficulty of Bribery in Qualitative Coalitional Games," Working Papers 2007.100, Fondazione Eni Enrico Mattei.
    3. Giovanni Villani & Marta Biancardi, 2011. "Largest Consistent Set in International Environmental Agreements," Quaderni DSEMS 04-2011, Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia.
    4. S. Yu & E. C. Ierland & H.-P. Weikard & X. Zhu, 2017. "Nash bargaining solutions for international climate agreements under different sets of bargaining weights," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 17(5), pages 709-729, October.
    5. Hans-Peter Weikard & Rob Dellink & Ekko Ierland, 2010. "Renegotiations in the Greenhouse," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 45(4), pages 573-596, April.
    6. Marta Biancardi & Giovanni Villani, 2011. "Largest Consistent Set in International Environmental Agreements," Computational Economics, Springer;Society for Computational Economics, vol. 38(3), pages 407-423, October.

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