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Vertigo: Comparing structural models of imperfect behavior in experimental games

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  • El-Gamal, Mahmoud A.
  • Palfrey, Thomas R.
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    Abstract

    We introduce the game of Vertigo to study learning in experimental games with one-sided incomplete information. Our models allow players to make errors when choosing their actions. We compare six models where the players are modeled as sophisticated (taking errors in action into account when constructing strategies) or unsophisticated on one dimension, and employ Bayes' rule, a faster updating rule, or no updating at all on the second. Using a fully Bayesian structural econometric approach, we find that unsophisticated models perform better than sophisticated models, and models with no (or slower) updating perform better than models with faster updating. Journal of Economic Literature Classification Numbers: 026, 211, 215.

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    Bibliographic Info

    Article provided by Elsevier in its journal Games and Economic Behavior.

    Volume (Year): 8 (1995)
    Issue (Month): 2 ()
    Pages: 322-348

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    Handle: RePEc:eee:gamebe:v:8:y:1995:i:2:p:322-348

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    Web page: http://www.elsevier.com/locate/inca/622836

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    1. Beja, Avraham, 1992. "Imperfect equilibrium," Games and Economic Behavior, Elsevier, vol. 4(1), pages 18-36, January.
    2. Camerer, Colin & Weigelt, Keith, 1988. "Experimental Tests of a Sequential Equilibrium Reputation Model," Econometrica, Econometric Society, vol. 56(1), pages 1-36, January.
    3. Brandts, Jordi & Holt, Charles A, 1992. "An Experimental Test of Equilibrium Dominance in Signaling Games," American Economic Review, American Economic Association, vol. 82(5), pages 1350-65, December.
    4. Boylan Richard T. & El-Gamal Mahmoud A., 1993. "Fictitious Play: A Statistical Study of Multiple Economic Experiments," Games and Economic Behavior, Elsevier, vol. 5(2), pages 205-222, April.
    5. Banks Jeffrey & Camerer Colin & Porter David, 1994. "An Experimental Analysis of Nash Refinements in Signaling Games," Games and Economic Behavior, Elsevier, vol. 6(1), pages 1-31, January.
    6. Cooper, Russell, et al, 1990. "Selection Criteria in Coordination Games: Some Experimental Results," American Economic Review, American Economic Association, vol. 80(1), pages 218-33, March.
    7. McKelvey, Richard D & Palfrey, Thomas R, 1992. "An Experimental Study of the Centipede Game," Econometrica, Econometric Society, vol. 60(4), pages 803-36, July.
    8. 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.
    9. Brown, James N & Rosenthal, Robert W, 1990. "Testing the Minimax Hypothesis: A Re-examination of O'Neill's Game Experiment," Econometrica, Econometric Society, vol. 58(5), pages 1065-81, September.
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    Cited by:
    1. Daniel Houser & Michael Keane & Kevin McCabe, 2004. "Behavior in a Dynamic Decision Problem: An Analysis of Experimental Evidence Using a Bayesian Type Classification Algorithm," Econometrica, Econometric Society, vol. 72(3), pages 781-822, 05.
    2. Holt, Debra J., 1999. "An Empirical Model of Strategic Choice with an Application to Coordination Games," Games and Economic Behavior, Elsevier, vol. 27(1), pages 86-105, April.
    3. Franz Rothlauf & Daniel Schunk & Jella Pfeiffer, 2005. "Classification of Human Decision Behavior: Finding Modular Decision Rules with Genetic Algorithms," MEA discussion paper series 05079, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.

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