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Kingmakers and Leaders in Coalition Formation

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  • Brams, Steven J.
  • Kilgour, Marc

Abstract

Assume that players strictly rank each other as coalition partners. We propose a procedure whereby they “fall back” on their preferences, yielding internally compatible, or coherent, majority coalition(s), which we call fallback coalitions. If there is more than one fallback coalition, the players common to them, or kingmakers, determine which fallback coalition will form. The players(s) who are the first to be acceptable to all other members of a fallback coalition are the leader(s) of that coalition. The effects of different preference assumptions—particularly, different kinds of single-peakedness—and of player weights on the number of coherent coalitions, their connectedness, and which players become kingmakers and leaders are investigated. The fallback procedure may be used (i) empirically to identify kingmakers and leaders or (ii) normatively to select them.

Suggested Citation

  • Brams, Steven J. & Kilgour, Marc, 2009. "Kingmakers and Leaders in Coalition Formation," Sustainable Development Papers 52337, Fondazione Eni Enrico Mattei (FEEM).
    • Handle: RePEc:ags:feemdp:52337
    DOI: 10.22004/ag.econ.52337
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    References listed on IDEAS

    as
    1. Steven J. Brams & D. Marc Kilgour, 2001. "Fallback Bargaining," Group Decision and Negotiation, Springer, vol. 10(4), pages 287-316, July.
    2. Steven Brams & Michael Jones & D. Kilgour, 2005. "Forming stable coalitions: The process matters," Public Choice, Springer, vol. 125(1), pages 67-94, July.
    3. Serguei Kaniovski & Dennis Leech, 2009. "A behavioral power index," Public Choice, Springer, vol. 141(1), pages 17-29, October.
    4. Steven J. Brams & Michael A. Jones & D. Marc Kilgour, 2002. "Single-Peakedness and Disconnected Coalitions," Journal of Theoretical Politics, , vol. 14(3), pages 359-383, July.
    5. Kaniovski, Serguei & Leech, Dennia, 2009. "A behavioral power index," Economic Research Papers 269780, University of Warwick - Department of Economics.
    6. Martin, Andrew D. & Quinn, Kevin M., 2002. "Dynamic Ideal Point Estimation via Markov Chain Monte Carlo for the U.S. Supreme Court, 1953–1999," Political Analysis, Cambridge University Press, vol. 10(2), pages 134-153, April.
    7. I. D. Hill, 2008. "Mathematics and Democracy: Designing Better Voting and Fair‐division Procedures," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(4), pages 1032-1033, October.
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    Cited by:

    1. Steven Brams & Gustavo Camilo & Alexandra Franz, 2014. "Coalition formation on the U.S. Supreme Court: 1969–2009," Public Choice, Springer, vol. 158(3), pages 525-539, March.

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    More about this item

    Keywords

    Institutional and Behavioral Economics;

    JEL classification:

    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

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