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Group Play in Games and the Role of Consent in Network Formation


Gary Charness


University of California, Santa Barbara - Department of Economics

Matthew O. Jackson


Stanford University - Department of Economics; Santa Fe Institute; Canadian Institute for Advanced Research (CIFAR)

September 6, 2006


Abstract:     
We study games played between groups of players, where a given group decides which strategy it will play through a vote by its members. When groups consist of two voting players, our games can also be interpreted as network-formation games. In experiments on Stag Hunt games, we find a stark contrast between how groups and individuals play, with payoffs playing a primary role in equilibrium selection when individuals play, but the structure of the voting rule playing the primary role when groups play.

We develop a new solution concept, robust-belief equilibrium, which explains the data that we observe. We provide results showing that this solution concept has application beyond the particular games in our experiments.

Number of Pages in PDF File: 42

Keywords: Groups, Networks, Game Theory, Equilibrium Selection, Equilibrium Refinement, Majority Voting, Group Play, Robust-belief Equilibrium

JEL Classification: D85, A14, C72, C91, D71, D72

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Date posted: January 15, 2004  

Suggested Citation

Charness, Gary and Jackson, Matthew O., Group Play in Games and the Role of Consent in Network Formation (September 6, 2006). Available at SSRN: http://ssrn.com/abstract=486183 or http://dx.doi.org/10.2139/ssrn.486183

Contact Information

Gary Charness (Contact Author)
University of California, Santa Barbara - Department of Economics ( email )
2127 North Hall
Santa Barbara, CA 93106
United States
805-893-2412 (Phone)
805-893-8830 (Fax)
Matthew O. Jackson
Stanford University - Department of Economics ( email )
Landau Economics Building
579 Serra Mall
Stanford, CA 94305-6072
United States
1-650-723-3544 (Phone)
HOME PAGE: http://www.stanford.edu/~jacksonm
Santa Fe Institute
1399 Hyde Park Road
Santa Fe, NM 87501
United States
Canadian Institute for Advanced Research (CIFAR) ( email )
180 Dundas Street West, Suite 1400
Toronto, Ontario
Canada
Feedback to SSRN (Beta)


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