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Double Auction Dynamics: Structural Effects Of Non-Binding Price Controls

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Listed:
  • Dhananjay (Dan) K. Gode

    (New York University Stern School of Business)

  • Shyam Sunder

    (Yale School of Management)

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.

Suggested Citation

  • Dhananjay (Dan) K. Gode & Shyam Sunder, 2000. "Double Auction Dynamics: Structural Effects Of Non-Binding Price Controls," Yale School of Management Working Papers ysm1, Yale School of Management.
  • Handle: RePEc:ysm:somwrk:ysm1
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    References listed on IDEAS

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    9. 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.
    10. Antoni Bosch-Domenech & Shyam Sunder, 2000. "Tracking the Invisible Hand: Convergence of Double Auctions to Competitive Equilibrium," Computational Economics, Springer;Society for Computational Economics, vol. 16(3), pages 257-284, December.
    11. Dhananjay K. Gode & Shyam Sunder, 1997. "What Makes Markets Allocationally Efficient?," The Quarterly Journal of Economics, Oxford University Press, vol. 112(2), pages 603-630.
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    Cited by:

    1. Giuseppe Attanasi & Samuele Centorrino & Elena Manzoni, 2020. "Zero-Intelligence vs. Human Agents: An Experimental Analysis of the Efficiency of Double Auctions and Over-the-Counter Markets of Varying Sizes," Department of Economics Working Papers 20-04, Stony Brook University, Department of Economics.
    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 (2007-2020), Kiel Institute for the World Economy (IfW), vol. 7, 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, August.
    4. Shyam Sunder, 2020. "Rational order from ‘irrational’ actions," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 19(2), pages 317-321, November.
    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. 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.
    7. 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.
    8. Marco LiCalzi & Lucia Milone & Paolo Pellizzari, 2011. "Allocative Efficiency and Traders’ Protection Under Zero Intelligence Behavior," Dynamic Modeling and Econometrics in Economics and Finance, in: Herbert Dawid & Willi Semmler (ed.), Computational Methods in Economic Dynamics, pages 5-28, Springer.
    9. 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;Economic Science Association, vol. 5(3), pages 179-208, December.
    10. Ross M. Miller, 2012. "The Effect Of Boundary Conditions On Efficiency And Pricing In Double‐Auction Markets With Zero‐Intelligence Agents," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 19(3), pages 179-188, July.
    11. Lana Friesen & Lata Gangadharan & Peyman Khezr & Ian A. MacKenzie, 2020. "Mind your Ps and Qs! An Experiment on Variable Allowance Supply in the US Regional Greenhouse Gas Initiative," Discussion Papers Series 618, School of Economics, University of Queensland, Australia.

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    More about this item

    Keywords

    Auctions; Allocative Efficiency; Cost-Benefit Analysis;
    All these keywords.

    JEL classification:

    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis

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