Sequential equilibrium in monotone games: A theory-based analysis of experimental data
AbstractA monotone game is an extensive-form game with complete information, simultaneous moves and an irreversibility structure on strategies. It captures a variety of situations in which players make partial commitments and allows us to characterize conditions under which equilibria result in socially desirable outcomes. However, since the game has many equilibrium outcomes, the theory lacks predictive power. To produce stronger predictions, one can restrict attention to the set of sequential equilibria, or Markov equilibria, or symmetric equilibria, or pure-strategy equilibria. This paper explores the relationship between equilibrium behavior in a class of monotone games, namely voluntary contribution games, and the behavior of human subjects in an experimental setting. Several key features of the symmetric Markov perfect equilibrium (SMPE) are consistent with the data. To judge how well the SMPE fits the data, we estimate a model of Quantal Response Equilibrium (QRE) [R. McKelvey, T. Palfrey, Quantal response equilibria for normal form games, Games Econ. Behav. 10 (1995) 6-38; R. McKelvey, T. Palfrey, Quantal response equilibria for extensive form games, Exp. Econ. 1 (1998) 9-41] and find that the decision rules of the QRE model are qualitatively very similar to the empirical choice probabilities.
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Bibliographic InfoArticle provided by Elsevier in its journal Journal of Economic Theory.
Volume (Year): 143 (2008)
Issue (Month): 1 (November)
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Web page: http://www.elsevier.com/locate/inca/622869
Experiment Monotone games Refinements Pure strategy Mixed strategy Markov perfect Quantal response equilibrium;
Other versions of this item:
- Syngjoo Choi & Douglas Gale & Shachar Kariv, 2006. "Sequential Equilibrium in Monotone Games: Theory-Based Analysis of Experimental Data," Levine's Bibliography 784828000000000278, UCLA Department of Economics.
- Choi, S. & Gale, D. & Kariv, S., 2008. "Sequential equilibrium in monotone games: a theory-based analysis of experimental data," Open Access publications from University College London http://discovery.ucl.ac.u, University College London.
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