Inferring repeated-game strategies from actions: evidence from trust game experiments
AbstractCombining a strategy model, an inference procedure and a new experimental design, we map sequences of observed actions in repeated games to unobserved strategies that reflect decision-makers’ plans. We demonstrate the method by studying two institutional settings with distinct theoretical predictions. We find that almost all strategies inferred are best responses to one of the inferred strategies of other players, and in one of the settings almost all of the inferred strategies, which include triggers to punish non-cooperators, are consistent with equilibrium strategies. By developing a method to infer unobserved repeated-game strategies from actions, we take a step toward making game theory a more applied tool, bridging a gap between theory and observed behavior. Copyright Springer-Verlag Berlin/Heidelberg 2006
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Bibliographic InfoArticle provided by Springer in its journal Economic Theory.
Volume (Year): 28 (2006)
Issue (Month): 3 (08)
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Web page: http://link.springer.de/link/service/journals/00199/index.htm
Other versions of this item:
- Jim Engle-Warnick & Robert L. Slonim, 2001. "Inferring Repeated Game Strategies From Actions: Evidence From Trust Game Experiments," Economics Papers 2001-W13, Economics Group, Nuffield College, University of Oxford.
- C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
- C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
- C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
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