Myopically Forward-Looking Agents in a Network Formation Game: Theory and Experimental Evidence
AbstractA population of players is considered in which each agent can select her neighbors in order to play a 2x2 Hawk-Dove game with each of them. We design our experiment in continuous time where participants may change their Hawk-Dove action and/or their neighborhood at any point in time. We are interested in the resulting formation of networks and the action distributions. Compared with static Nash equilibrium (e.g., Berninghaus and Vogt, 2004, 2006; Bramoulle, Lopez-Pintado, Goyal, and Vega-Redondo, 2004) and social optimum as theoretical benchmark solutions, subjects seem to employ a more complex, forward-looking thinking. We develop an other benchmark solution, called one-step-ahead stability, that combines forward-looking belief formation with rational response and that fits the data much better.
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Bibliographic InfoPaper provided by Sonderforschungsbereich 504, Universität Mannheim & Sonderforschungsbereich 504, University of Mannheim in its series Sonderforschungsbereich 504 Publications with number 08-02.
Length: 26 pages
Date of creation: 31 Jan 2008
Date of revision:
Note: Financial support from the Deutsche Forschungsgemeinschaft, SFB 504, at the University of Mannheim, is gratefully acknowledged.
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This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-04-04 (All new papers)
- NEP-EVO-2008-04-04 (Evolutionary Economics)
- NEP-EXP-2008-04-04 (Experimental Economics)
- NEP-GTH-2008-04-04 (Game Theory)
- NEP-NET-2008-04-04 (Network Economics)
- NEP-SOC-2008-04-04 (Social Norms & Social Capital)
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- Anna Contea & Daniela T. Di Cagno & Emanuela Sciubbad, 2011. "Behavioural patterns in social networks," Jena Economic Research Papers 2011-060, Friedrich-Schiller-University Jena, Max-Planck-Institute of Economics.
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