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Learning in a Laboratory Market with Random Supply and Demand

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Author Info
Timothy Cason ()
Daniel Friedman

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Abstract

We propose a simple adaptive learning model to study behavior in the call market. The laboratory environment features buyers and sellers who receive a new random value or cost in each period, so they must learn a strategy that maps these random draws into bids or asks. We focus on buyers' adjustment of the “mark-down†ratio of bids relative to private value and sellers' adjustment of the corresponding “mark-up†ratio of asks relative to private cost. The learning model involves partial adjustment of these ratios towards the ex post optimum each period. The model explains a substantial proportion of the variation in traders' strategies. Parameter estimates indicate strong recency effects and negligible autonomous trend, but strongly asymmetric response to different kinds of ex post error. The asymmetry is only slightly attenuated in “observational learning†from other traders' ex post errors. Simulations show that the model can account for the main systematic deviations from equilibrium predictions observed in this market institution and environment. Copyright Kluwer Academic Publishers 1999

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Publisher Info
Article provided by Springer in its journal Experimental Economics.

Volume (Year): 2 (1999)
Issue (Month): 1 (August)
Pages: 77-98
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Handle: RePEc:kap:expeco:v:2:y:1999:i:1:p:77-98

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Web page: http://www.springerlink.com/link.asp?id=102888

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Related research
Keywords: experiment; call market; auction; bidding;

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. Fudenberg, Drew & Levine, David, 1998. "Learning in games," European Economic Review, Elsevier, vol. 42(3-5), pages 631-639, May. [Downloadable!] (restricted)
  2. Smith, Vernon L & Walker, James M, 1993. "Rewards, Experience and Decision Costs in First Price Auctions," Economic Inquiry, Oxford University Press, vol. 31(2), pages 237-45, April.
  3. Friedman, Daniel & Ostroy, Joseph, 1995. "Competitivity in Auction Markets: An Experimental and Theoretical Investigation," Economic Journal, Royal Economic Society, vol. 105(428), pages 22-53, January. [Downloadable!] (restricted)
  4. Garvin, Susan & Kagel, John H., 1994. "Learning in common value auctions: Some initial observations," Journal of Economic Behavior & Organization, Elsevier, vol. 25(3), pages 351-372, December. [Downloadable!] (restricted)
  5. Timothy N. Cason & Daniel Friedman, 1997. "Price Formation in Single Call Markets," Econometrica, Econometric Society, vol. 65(2), pages 311-346, March.
  6. Cason, Timothy N., 1992. "Call market efficiency with simple adaptive learning," Economics Letters, Elsevier, vol. 40(1), pages 27-32, September. [Downloadable!] (restricted)
  7. McCabe, Kevin A & Rassenti, Stephen J & Smith, Vernon L, 1992. "Designing Call Auction Institutions: Is Double Dutch the Best?," Economic Journal, Royal Economic Society, vol. 102(410), pages 9-23, January. [Downloadable!] (restricted)
  8. 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. [Downloadable!] (restricted)
  9. Rustichini, Aldo & Satterthwaite, Mark A & Williams, Steven R, 1994. "Convergence to Efficiency in a Simple Market with Incomplete Information," Econometrica, Econometric Society, vol. 62(5), pages 1041-63, September. [Downloadable!] (restricted)
  10. Colin Camerer & Teck-Hua Ho, 1999. "Experience-weighted Attraction Learning in Normal Form Games," Econometrica, Econometric Society, vol. 67(4), pages 827-874, July.
  11. C. Monica Capra & Jacob K Goeree & Rosario Gomez & Charles A Holt, 2002. "Learning and Noisy Equilibrium Behavior in an Experimental Study of Imperfect Price Competition," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 43(3), pages 613-636, August. [Downloadable!] (restricted)
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  12. 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.
  13. Satterthwaite, Mark A & Williams, Steven R, 1989. "The Rate of Convergence to Efficiency in the Buyer's Bid Double Auction as the Market Becomes Large," Review of Economic Studies, Blackwell Publishing, vol. 56(4), pages 477-98, October. [Downloadable!] (restricted)
  14. Gode, D.K. & Sunder, S., 1991. "Allocative Efficiency of Markets with Zero Intelligence (Z1) Traders: Market as a Partial Substitute for Individual Rationality," GSIA Working Papers 1992-16, Carnegie Mellon University, Tepper School of Business.
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(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Axel Ockenfels & Reinhard Selten, 2004. "Impulse Balance Equilibrium and Feedback in First Price Auctions," Working Paper Series in Economics 7, University of Cologne, Department of Economics. [Downloadable!]
    Other versions:
  2. P.B. Rakhe, 2003. "Estimation of tax leakage and its impact on fiscal health in Kerala," Centre for Development Studies, Trivendrum Working Papers 347, Centre for Development Studies, Trivendrum, India. [Downloadable!]
  3. Allan Corns & Andrew Schotter, 1999. "Can Affirmative Action Be Cost Effective? An Experimental Examination of Price-Preference Auctions," American Economic Review, American Economic Association, vol. 89(1), pages 291-305, March. [Downloadable!] (restricted)
    Other versions:
  4. Enrique Fatas & Tibor Neugebauer & Javier Perote, 2005. "Within-Team Competition in the Minimum Effort Coordination Game," Experimental 0503006, EconWPA. [Downloadable!]
    Other versions:
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