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A Model of Behavior in Coordination Game Experiments

  • Martin Sefton


This paper constructs a structural model for behavior in expeiments where subjects play a simple coordination game repeatedly under a rotating partner scheme. The model assumes subjects' actions are stochastic best responses to beliefs about opponents' choices, and these beliefs update as subjects observe actual choices during the experiment. The model accounts for heterogeneity across subjects by regarding prior beliefs as random effects and estimating their distribution. Maximum likelihood estimates from experimental data suggest that distributions of initial beliefs vary across games, but in all games studied imply a convergence dynamic toward risk-dominant equilibrium. Copyright Kluwer Academic Publishers 1999

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Article provided by Springer in its journal Experimental Economics.

Volume (Year): 2 (1999)
Issue (Month): 2 (December)
Pages: 151-164

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Handle: RePEc:kap:expeco:v:2:y:1999:i:2:p:151-164
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  1. Roth, Alvin E. & Erev, Ido, 1995. "Learning in extensive-form games: Experimental data and simple dynamic models in the intermediate term," Games and Economic Behavior, Elsevier, vol. 8(1), pages 164-212.
  2. Harless, David W & Camerer, Colin F, 1994. "The Predictive Utility of Generalized Expected Utility Theories," Econometrica, Econometric Society, vol. 62(6), pages 1251-89, November.
  3. Kenneth Clark & Stephen Kay & Martin Sefton, 1997. "When Are Nash Equilibria Self-Enforcing? An Experimental Analysis," Experimental 9707001, EconWPA.
  4. Van Huyck, John B & Battalio, Raymond C & Rankin, Frederick W, 1997. "On the Origin of Convention: Evidence from Coordination Games," Economic Journal, Royal Economic Society, vol. 107(442), pages 576-96, May.
  5. Drew Fudenberg & David K. Levine, 1998. "Learning in Games," Levine's Working Paper Archive 2222, David K. Levine.
  6. Offerman, Theo & Schram, Arthur & Sonnemans, Joep, 1998. "Quantal response models in step-level public good games," European Journal of Political Economy, Elsevier, vol. 14(1), pages 89-100, February.
  7. Raymond Battalio & Larry Samuelson & John Van Huyck, 2010. "Risk Dominance, Payoff Dominance and Probabilistic Choice Learning," Levine's Working Paper Archive 50, David K. Levine.
  8. Cooper, Russell, et al, 1992. "Communication in Coordination Games," The Quarterly Journal of Economics, MIT Press, vol. 107(2), pages 739-71, May.
  9. A. Roth & I. Er’ev, 2010. "Learning in Extensive Form Games: Experimental Data and Simple Dynamic Models in the Intermediate Run," Levine's Working Paper Archive 387, David K. Levine.
  10. Ulrich Kamecke, 1997. "note: Rotations: Matching Schemes that Efficiently Preserve the Best Reply Structure of a One Shot Game," International Journal of Game Theory, Springer, vol. 26(3), pages 409-417.
  11. R. Boylan & E. El-Gamal, 2010. "Fictitious Play: A Statistical Study of Multiple Economic Experiments," Levine's Working Paper Archive 403, David K. Levine.
  12. Colin Camerer & Teck-Hua Ho, 1999. "Experience-weighted Attraction Learning in Normal Form Games," Econometrica, Econometric Society, vol. 67(4), pages 827-874, July.
  13. Cheung, Yin-Wong & Friedman, Daniel, 1997. "Individual Learning in Normal Form Games: Some Laboratory Results," Games and Economic Behavior, Elsevier, vol. 19(1), pages 46-76, April.
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