IDEAS home Printed from https://ideas.repec.org/p/cla/levrem/122247000000001480.html
   My bibliography  Save this paper

Three Minimal Market Games: Theory and Experimental Evidence

Author

Listed:
  • Juergen Huber
  • Martin Shubik
  • Shyam Sunder

Abstract

No abstract is available for this item.

Suggested Citation

  • Juergen Huber & Martin Shubik & Shyam Sunder, 2007. "Three Minimal Market Games: Theory and Experimental Evidence," Levine's Bibliography 122247000000001480, UCLA Department of Economics.
    • Handle: RePEc:cla:levrem:122247000000001480
    as

    Download full text from publisher

    File URL: http://cowles.econ.yale.edu/P/cd/d16a/d1623.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rama Cont, 1997. "Scaling and correlation in financial data," Papers cond-mat/9705075, arXiv.org, revised May 1997.
    2. 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 119-137, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Martin Shubik, 2010. "Innovation and Equilibrium?," Chapters, in: Dimitri B. Papadimitriou & L. Randall Wray (ed.), The Elgar Companion to Hyman Minsky, chapter 8, Edward Elgar Publishing.
    2. Jan Toporowski, 2013. "The Elgar Companion to Hyman Minsky," Review of Political Economy, Taylor & Francis Journals, vol. 25(1), pages 175-177, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Huber, Juergen & Shubik, Martin & Sunder, Shyam, 2007. "Three Minimal Market Institutions: Theory and Experimental Evidence," Working Papers 27, Yale University, Department of Economics.
    2. Berg, Joyce E. & Rietz, Thomas A., 2019. "Longshots, overconfidence and efficiency on the Iowa Electronic Market," International Journal of Forecasting, Elsevier, vol. 35(1), pages 271-287.
    3. Paolo Pellizzari & Dan Ladley, 2014. "The simplicity of optimal trading in order book markets," Working Papers 2014:05, Department of Economics, University of Venice "Ca' Foscari".
    4. Daniel Sutter & Daniel J. Smith, 2017. "Coordination in disaster: Nonprice learning and the allocation of resources after natural disasters," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 30(4), pages 469-492, December.
    5. Li, Hongyan & Tesfatsion, Leigh, 2012. "Co-learning patterns as emergent market phenomena: An electricity market illustration," Journal of Economic Behavior & Organization, Elsevier, vol. 82(2), pages 395-419.
    6. Simon, Herbert A., 2000. "Barriers and bounds to Rationality," Structural Change and Economic Dynamics, Elsevier, vol. 11(1-2), pages 243-253, July.
    7. Lovric, M. & Kaymak, U. & Spronk, J., 2008. "A Conceptual Model of Investor Behavior," ERIM Report Series Research in Management ERS-2008-030-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    8. Makarewicz, Tomasz, 2021. "Traders, forecasters and financial instability: A model of individual learning of anchor-and-adjustment heuristics," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 626-673.
    9. J. P. Krahnen & C. Rieck & E. Theissen, 1999. "Insider trading and portfolio structure in experimental asset markets with a long-lived asset," The European Journal of Finance, Taylor & Francis Journals, vol. 5(1), pages 29-50.
    10. Michael Kostmann & Wolfgang K. Härdle, 2019. "Forecasting in Blockchain-Based Local Energy Markets," Energies, MDPI, vol. 12(14), pages 1-27, July.
    11. Li, Zhenpeng & Ma, Tao, 2020. "Peer-to-peer electricity trading in grid-connected residential communities with household distributed photovoltaic," Applied Energy, Elsevier, vol. 278(C).
    12. Robin Nicole & Aleksandra Alori'c & Peter Sollich, 2020. "Fragmentation in trader preferences among multiple markets: Market coexistence versus single market dominance," Papers 2012.04103, arXiv.org, revised Aug 2021.
    13. Michel Callon & Fabian Muniesa, 2005. "Economic markets as calculative collective devices," Post-Print halshs-00087477, HAL.
    14. John Duffy & M. Utku Unver, 2003. "Asset Price Bubbles and Crashes with Near-Zero-Intelligence Traders: Towards an Understanding of Laboratory Findings," Computational Economics 0307001, University Library of Munich, Germany, revised 17 Mar 2004.
    15. Melesse, Mequanint B. & Cecchi, Francesco, 2017. "Does Market Experience Attenuate Risk Aversion? Evidence from Landed Farm Households in Ethiopia," World Development, Elsevier, vol. 98(C), pages 447-466.
    16. Juan Manuel Larrosa, 2016. "Agentes computacionales y análisis económico," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 18(34), pages 87-113, January-J.
    17. Richard B. Freeman, 2007. "Labor Market Institutions Around the World," NBER Working Papers 13242, National Bureau of Economic Research, Inc.
    18. Sugden, Robert, 2009. "Market simulation and the provision of public goods: A non-paternalistic response to anomalies in environmental evaluation," Journal of Environmental Economics and Management, Elsevier, vol. 57(1), pages 87-103, January.
    19. Gaël Giraud & Céline Rochon, 2010. "Transition to Equilibrium in International Trades," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00657038, HAL.
    20. Anirban Chakraborti & Ioane Muni Toke & Marco Patriarca & Frédéric Abergel, 2011. "Econophysics review: II. Agent-based models," Post-Print hal-00621059, HAL.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cla:levrem:122247000000001480. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: David K. Levine (email available below). General contact details of provider: http://www.dklevine.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.