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Double Auction Dynamics: Structural Effects of Non-binding Price Controls

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  • Dhananjay K.
  • Shyam Sunder

Abstract

In competitive equilibrium, non-binding price controls (that is, price floors below and ceilings above the equilibrium) should not affect market outcomes, but in laboratory experiments they do. We build a simple dynamic model of double auction markets with zero-intelligence (ZI) computer traders that accounts for many, though not all, of the discrepancies between the data and the Walrasian tatonnement predictions. The success of the model in organizing the data, and in isolating various consequences of price controls, shows that the simple ZI model is a powerful tool to gain insights into the dynamics of market institutions.

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Bibliographic Info

Paper provided by Yale School of Management in its series Yale School of Management Working Papers with number ysm141.

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Date of creation: 01 Oct 2004
Date of revision: 01 Apr 2008
Handle: RePEc:ysm:somwrk:ysm141

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Keywords: Price controls; zero-intelligence; double auction dynamics; allocative efficiency;

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References

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  1. Daniel Friedman, 1982. "Price Formation in Double Auction Markets," UCLA Economics Working Papers 278, UCLA Department of Economics.
  2. Shinichi Hirota & Shyam Sunder, 2002. "Stock Market as a 'Beauty Contest': Investor Beliefs and Price Bubbles sans Dividend Anchors," Yale School of Management Working Papers ysm2, Yale School of Management.
  3. Isaac, R. Mark & Plott, Charles R., . "Price Controls and the Behavior of Auction Markets: An Experimental Examination," Working Papers 253, California Institute of Technology, Division of the Humanities and Social Sciences.
  4. Evans, Dorla A, 1997. "The Role of Markets in Reducing Expected Utility Violations," Journal of Political Economy, University of Chicago Press, vol. 105(3), pages 622-36, June.
  5. Marimon Ramon & Spear Stephen E. & Sunder Shyam, 1993. "Expectationally Driven Market Volatility: An Experimental Study," Journal of Economic Theory, Elsevier, vol. 61(1), pages 74-103, October.
  6. Jamal, Karim & Sunder, Shyam, 1996. "Bayesian equilibrium in double auctions populated by biased heuristic traders," Journal of Economic Behavior & Organization, Elsevier, vol. 31(2), pages 273-291, November.
  7. Smith, Vernon L & Williams, Arlington W, 1981. "On Nonbinding Price Controls in a Competitive Market," American Economic Review, American Economic Association, vol. 71(3), pages 467-74, June.
  8. Gode, Dhananjay K & Sunder, Shyam, 1997. "What Makes Markets Allocationally Efficient?," The Quarterly Journal of Economics, MIT Press, vol. 112(2), pages 603-30, May.
  9. Hardle, Wolfgang & Kirman, Alan, 1995. "Nonclassical demand : A model-free examination of price-quantity relations in the Marseille fish market," Journal of Econometrics, Elsevier, vol. 67(1), pages 227-257, May.
  10. Herbert A. Simon, 1996. "The Sciences of the Artificial, 3rd Edition," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262691914, December.
  11. Gode, Dhananjay K & Sunder, Shyam, 1993. "Allocative Efficiency of Markets with Zero-Intelligence Traders: Market as a Partial Substitute for Individual Rationality," Journal of Political Economy, University of Chicago Press, vol. 101(1), pages 119-37, February.
  12. Coursey, Don L & Smith, Vernon L, 1983. "Price Controls in a Posted Offer Market," American Economic Review, American Economic Association, vol. 73(1), pages 218-21, March.
  13. Shyam Sunder & MODELS A, 2002. "Markets as Artifacts: Aggregate Efficiency from Zero-Intelligence Traders," Yale School of Management Working Papers ysm284, Yale School of Management, revised 01 Sep 2004.
  14. Timothy N. Cason & Daniel Friedman, 1997. "Price Formation in Single Call Markets," Econometrica, Econometric Society, vol. 65(2), pages 311-346, March.
  15. Luo Guo Ying, 1995. "Evolution and Market Competition," Journal of Economic Theory, Elsevier, vol. 67(1), pages 223-250, October.
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Cited by:
  1. Ralph Bradburd & Stephen Sheppard & Joseph Bergeron & Eric Engler, 2004. "The Impact of Rent Controls in Non-Walrasian Markets: An Agent-Based Modeling Approach," Department of Economics Working Papers 2004-05, Department of Economics, Williams College, revised May 2005.
  2. Paul Brewer & Maria Huang & Brad Nelson & Charles Plott, 2002. "On the Behavioral Foundations of the Law of Supply and Demand: Human Convergence and Robot Randomness," Experimental Economics, Springer, vol. 5(3), pages 179-208, December.
  3. Micola, Augusto Ruperez & Bunn, Derek W., 2008. "Crossholdings, concentration and information in capacity-constrained sealed bid-offer auctions," Journal of Economic Behavior & Organization, Elsevier, vol. 66(3-4), pages 748-766, June.
  4. Shyam Sunder & MODELS A, 2002. "Markets as Artifacts: Aggregate Efficiency from Zero-Intelligence Traders," Yale School of Management Working Papers ysm284, Yale School of Management, revised 01 Sep 2004.
  5. Lengnick, Matthias & Krug, Sebastian & Wohltmann, Hans-Werner, 2012. "Money creation and financial instability: An agent-based credit network approach," Economics Discussion Papers 2012-61, Kiel Institute for the World Economy.
  6. Duffy, John, 2006. "Agent-Based Models and Human Subject Experiments," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 19, pages 949-1011 Elsevier.
  7. Marco LiCalzi & Lucia Milone & Paolo Pellizzari, 2008. "Allocative efficiency and traders' protection under zero intelligence behavior," Working Papers 168, Department of Applied Mathematics, Università Ca' Foscari Venezia, revised Nov 2009.

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