Learning in Networks - An Experimental Study using Stationary Concepts
AbstractOur study analyzes theories of learning for strategic interactions in networks. Participants played two of the 2 x 2 games used by Selten and Chmura (2008) and in the comment by Brunner, Camerer and Goeree (2009). Every participant played against four neighbors and could choose a different strategy against each of them. The games were played in two network structures: a attice and a circle. We compare our results with the predictions of different theories (Nash equilibrium, quantal response equilibrium, action-sampling equilibrium, payoff-sampling equilibrium, and impulse balance equilibrium) and the experimental results of Selten and Chmura (2008). One result is that the majority of players choose the same strategy against each neighbor. As another result we observe an order of predictive success for the stationary concepts that is different from the order shown by Selten and Chmura. This result supports our view that learning in networks is different from learning in random matching.
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Bibliographic InfoPaper provided by Friedrich-Schiller-University Jena, Max-Planck-Institute of Economics in its series Jena Economic Research Papers with number 2011-048.
Date of creation: 19 Oct 2011
Date of revision:
experimental economics; networks; learning;
Other versions of this item:
- Berninghaus, Siegfried K. & Neumann, Thomas & Vogt, Bodo, 2011. "Learning in networks: An experimental study using stationary concepts," Working Paper Series in Economics 15, Karlsruhe Institute of Technology (KIT), Department of Economics and Business Engineering.
- C70 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - General
- C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
- C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
- D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-11-01 (All new papers)
- NEP-CBE-2011-11-01 (Cognitive & Behavioural Economics)
- NEP-EVO-2011-11-01 (Evolutionary Economics)
- NEP-EXP-2011-11-01 (Experimental Economics)
- NEP-GTH-2011-11-01 (Game Theory)
- NEP-NET-2011-11-01 (Network Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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