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Double auction dynamics: structural effects of non-binding price controls

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  • Gode, Dhananjay (Dan) K.
  • Sunder, Shyam

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. Success of the model in organizing the data, and decomposing 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

Article provided by Elsevier in its journal Journal of Economic Dynamics and Control.

Volume (Year): 28 (2004)
Issue (Month): 9 (July)
Pages: 1707-1731

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Handle: RePEc:eee:dyncon:v:28:y:2004:i:9:p:1707-1731

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  1. Marimon, R. & Spear, S. & Sunder, S., 1991. "Expectationally-Driven Market Volatility: An Experimental Study," GSIA Working Papers 1991-3, Carnegie Mellon University, Tepper School of Business.
  2. 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.
  3. Timothy N. Cason & Daniel Friedman, 1997. "Price Formation in Single Call Markets," Econometrica, Econometric Society, vol. 65(2), pages 311-346, March.
  4. 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.
  5. 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.
  6. 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.
  7. Daniel Friedman, 1982. "Price Formation in Double Auction Markets," UCLA Economics Working Papers 278, UCLA Department of Economics.
  8. Herbert A. Simon, 1996. "The Sciences of the Artificial, 3rd Edition," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262691914, December.
  9. Luo Guo Ying, 1995. "Evolution and Market Competition," Journal of Economic Theory, Elsevier, vol. 67(1), pages 223-250, October.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
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Cited by:
  1. 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.
  2. Lengnick, Matthias & Krug, Sebastian & Wohltmann, Hans-Werner, 2013. "Money creation and financial instability: An agent-based credit network approach," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy, vol. 7(32), pages 1-44.
  3. Ralph Bradburd & Stephen Sheppard & Joseph Bergeron & Eric Engler, 2006. "The Impact Of Rent Controls In Non-Walrasian Markets: An Agent-Based Modeling Approach," Journal of Regional Science, Wiley Blackwell, vol. 46(3), pages 455-491.
  4. 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.
  5. 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.
  6. John Duffy, 2004. "Agent-Based Models and Human Subject Experiments," Computational Economics 0412001, EconWPA.
  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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