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Learning in Economics: Where Do We Stand?

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Author Info

  • Tilman Slembeck

    (University of St.Gallen)

Abstract

This paper briefly reviews the current literature on learning in economics from a behavioral point of view. It critically compares theory with aspects of learning in real-life and with evidence from laboratory experiments, and argues that most customary approaches lack criteria for their applicability. Hence, there is a need for a theory that includes criteria when to employ which theory or which element(s) of existing theories contingent on the situation or environment in question. A discussion of several unsolved issues in economic learning stresses the fundamental role of learning conditions that have be neglected in the literature, but are accounted for in behavioral approaches such as "contingent learning".

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File URL: http://128.118.178.162/eps/mic/papers/0004/0004007.pdf
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Bibliographic Info

Paper provided by EconWPA in its series Microeconomics with number 0004007.

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Length: 22 pages
Date of creation: 05 Jul 2000
Date of revision:
Handle: RePEc:wpa:wuwpmi:0004007

Note: Type of Document - PDF; prepared on IBM PC; to print on HP/PostScript/; pages: 22 ; figures: included. Discussion Paper No. 9907, Department of Economics, University of St.Gallen, August 1999, downloads at http://www.fgn.unisg.ch/public/public.htm
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Related research

Keywords: economic learning; behavioral economics; experiments; game theory; information feedback; contingent learning;

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References

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  1. Antoni Bosch-Domènech & Nicolaas J. Vriend, 1998. "Imitation of succesful behavior in Cournot markets," Economics Working Papers 269, Department of Economics and Business, Universitat Pompeu Fabra, revised May 1999.
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  8. Gale, John & Binmore, Kenneth G. & Samuelson, Larry, 1995. "Learning to be imperfect: The ultimatum game," Games and Economic Behavior, Elsevier, vol. 8(1), pages 56-90.
  9. Selten, Reinhard & Joachim Buchta, 1994. "Experimental Sealed Bid First Price Auctions with Directly Observed Bid Functions," Discussion Paper Serie B 270, University of Bonn, Germany.
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  17. Tilman Slembeck, 1999. "Low Information Games - Experimental Evidence on Learning in Ultimatum Bargaining," Experimental 9905001, EconWPA.
  18. Loomes, Graham, 1999. "Some Lessons from Past Experiments and Some Challenges for the Future," Economic Journal, Royal Economic Society, vol. 109(453), pages F35-45, February.
  19. Selten, Reinhard & Stoecker, Rolf, 1986. "End behavior in sequences of finite Prisoner's Dilemma supergames A learning theory approach," Journal of Economic Behavior & Organization, Elsevier, vol. 7(1), pages 47-70, March.
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  21. Huck, Steffen & Normann, Hans-Theo & Oechssler, Jorg, 1999. "Learning in Cournot Oligopoly--An Experiment," Economic Journal, Royal Economic Society, vol. 109(454), pages C80-95, March.
  22. Charles A. Holt & Jacob K. Goeree, 1999. "Stochastic Game Theory: For Playing Games, Not Just for Doing Theory," Virginia Economics Online Papers 306, University of Virginia, Department of Economics.
  23. Tilman Slembeck, 1999. "Reputations and Fairness in Bargaining - Experimental Evidence from a Repeated Ultimatum Game With Fixed Opponents," Experimental 9905002, EconWPA.
  24. Avery, Christopher & Zemsky, Peter, 1998. "Multidimensional Uncertainty and Herd Behavior in Financial Markets," American Economic Review, American Economic Association, vol. 88(4), pages 724-48, September.
  25. Loewenstein, George, 1999. "Experimental Economics from the Vantage-Point of Behavioural Economics," Economic Journal, Royal Economic Society, vol. 109(453), pages F23-34, February.
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Cited by:
  1. Acevedo Rueda, Rafael Alexis, 2013. "El proceso de toma de decisiones: un modelo de economía conductual
    [The Decision Making Process: A Behavioral Economics Model]
    ," MPRA Paper 50890, University Library of Munich, Germany, revised 15 Sep 2013.

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