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Complexity and Competition, Part I: Sequential Matching

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  • Douglas Gale
  • Hamid Sabourian

Abstract

This paper uses the complexity of non-competitive behaviour to provide a new justification for competitive equilibrium in the context of extensive-form market games with a finite number of agents. This paper demonstrates that if rational agents have (at least at the margin) an aversion for complex behaviours then their maximizing behaviour will result in simple behavioural rules and thereby in a perfectly competitive outcome. In particular, we consider sequential market games with heterogeneous sets of buyers and sellers and show that if the complexity costs of implementing strategies enter players’ preferences, together with the standard payoff in the game, then every equilibrium strategy profile induces a competitive outcome. This is done for sequential deterministic matching/bargaining models in which at any date either the identities of the matched players are determined exogenously or one player is exogenously selected to choose his partner and make a price proposal.
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Suggested Citation

  • Douglas Gale & Hamid Sabourian, 2003. "Complexity and Competition, Part I: Sequential Matching," Levine's Bibliography 666156000000000199, UCLA Department of Economics.
  • Handle: RePEc:cla:levrem:666156000000000199
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    References listed on IDEAS

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    1. Martin J. Osborne & Ariel Rubinstein, 2005. "Bargaining and Markets," Levine's Bibliography 666156000000000515, UCLA Department of Economics.
    2. Rubinstein, Ariel & Wolinsky, Asher, 1985. "Equilibrium in a Market with Sequential Bargaining," Econometrica, Econometric Society, vol. 53(5), pages 1133-1150, September.
    3. Ariel Rubinstein & Asher Wolinsky, 1990. "Decentralized Trading, Strategic Behaviour and the Walrasian Outcome," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 57(1), pages 63-78.
    4. McLennan, Andrew & Sonnenschein, Hugo, 1991. "Sequential Bargaining as a Noncooperative Foundation for Walrasian Equilibrium," Econometrica, Econometric Society, vol. 59(5), pages 1395-1424, September.
    5. Kalai, E & Neme, A, 1992. "The Strength of a Little Perfection," International Journal of Game Theory, Springer;Game Theory Society, vol. 20(4), pages 335-355.
    6. Kalyan Chatterjee & Hamid Sabourian, 2000. "Multiperson Bargaining and Strategic Complexity," Econometrica, Econometric Society, vol. 68(6), pages 1491-1510, November.
    7. Abreu, Dilip & Rubinstein, Ariel, 1988. "The Structure of Nash Equilibrium in Repeated Games with Finite Automata," Econometrica, Econometric Society, vol. 56(6), pages 1259-1281, November.
    8. Hamid Sabourian, 2000. "Bargaining and Markets: Complexity and the Walrasian Outcome," Cowles Foundation Discussion Papers 1249, Cowles Foundation for Research in Economics, Yale University.
    9. K. G. Binmore & M. J. Herrero, 1988. "Matching and Bargaining in Dynamic Markets," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 55(1), pages 17-31.
    10. Gale, Douglas & Sabourian, Hamid, 2006. "Markov equilibria in dynamic matching and bargaining games," Games and Economic Behavior, Elsevier, vol. 54(2), pages 336-352, February.
    11. Rubinstein, Ariel, 1986. "Finite automata play the repeated prisoner's dilemma," Journal of Economic Theory, Elsevier, vol. 39(1), pages 83-96, June.
    12. Gale, Douglas M, 1986. "Bargaining and Competition Part I: Characterization," Econometrica, Econometric Society, vol. 54(4), pages 785-806, July.
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    Cited by:

    1. Hamid Sabourian & Jihong Lee, 2004. "Complexity and Efficiency in the Negotiation Game," Econometric Society 2004 North American Winter Meetings 82, Econometric Society.
    2. Hamid Sabourian & Jihong Lee, 2004. "Complexity and Efficiency in Repeated Games with Negotiation," Econometric Society 2004 Far Eastern Meetings 401, Econometric Society.
    3. Lee, J. & Sabourian, H., 2004. "Complexity and Efficiency in Repeated Games and Negotiation," Cambridge Working Papers in Economics 0419, Faculty of Economics, University of Cambridge.

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    More about this item

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D78 - Microeconomics - - Analysis of Collective Decision-Making - - - Positive Analysis of Policy Formulation and Implementation
    • D5 - Microeconomics - - General Equilibrium and Disequilibrium

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