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Network Structure In A Link Formation Game: An Experimental Study

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  • ALEXANDER ELBITTAR
  • RODRIGO HARRISON
  • ROBERTO MUÑOZ

Abstract

type="main" xml:id="ecin12106-abs-0001"> In this article, we use an experiment to evaluate the performance of alternative refinements in a Myersonian link formation game with a supermodular payoff function. Our results show that a non-cooperative refinement, the global games (GG) approach, outperforms alternative cooperative refinements (strong Nash equilibrium, coalition-proof Nash equilibrium, and pairwise stable Nash equilibrium) in explaining the observed experimental behavior in the static game of complete information with three players. The results are robust to some comparative statics and the GG approach shows a high predictive power under incomplete information. However, under repeated interaction or with a greater number of players, the GG approach loses predictive power, but so do the cooperative refinements. The results illustrate the importance of coordination failure in practice and the need to design mechanisms to reduce this effect in practical decision-making problems. (JEL C70, C92, D20, D44, D82)

Suggested Citation

  • Alexander Elbittar & Rodrigo Harrison & Roberto Muñoz, 2014. "Network Structure In A Link Formation Game: An Experimental Study," Economic Inquiry, Western Economic Association International, vol. 52(4), pages 1341-1363, October.
  • Handle: RePEc:bla:ecinqu:v:52:y:2014:i:4:p:1341-1363
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    Cited by:

    1. Rodrigo Harrison & Roberto Muñoz, 2008. "Stability and equilibrium selection in a link formation game," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 37(2), pages 335-345, November.
    2. Rodrigo Harrison & Pedro Jara‐Moroni, 2021. "Global Games With Strategic Substitutes," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(1), pages 141-173, February.

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    More about this item

    JEL classification:

    • C70 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - General
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D20 - Microeconomics - - Production and Organizations - - - General
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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