IDEAS home Printed from https://ideas.repec.org/a/eee/dyncon/v25y2001i3-4p295-319.html
   My bibliography  Save this article

Learning to speculate: Experiments with artificial and real agents

Author

Listed:
  • Duffy, John

Abstract

No abstract is available for this item.

Suggested Citation

  • Duffy, John, 2001. "Learning to speculate: Experiments with artificial and real agents," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 295-319, March.
  • Handle: RePEc:eee:dyncon:v:25:y:2001:i:3-4:p:295-319
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165-1889(00)00028-2
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jack Ochs & John Duffy, 1999. "Emergence of Money as a Medium of Exchange: An Experimental Study," American Economic Review, American Economic Association, vol. 89(4), pages 847-877, September.
    2. Kiyotaki, Nobuhiro & Wright, Randall, 1989. "On Money as a Medium of Exchange," Journal of Political Economy, University of Chicago Press, vol. 97(4), pages 927-954, August.
    3. Roth, Alvin E. & Erev, Ido, 1995. "Learning in extensive-form games: Experimental data and simple dynamic models in the intermediate term," Games and Economic Behavior, Elsevier, vol. 8(1), pages 164-212.
    4. Neil Wallace, 1998. "A dictum for monetary theory," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 22(Win), pages 20-26.
    5. Brown, Paul M., 1996. "Experimental evidence on money as a medium of exchange," Journal of Economic Dynamics and Control, Elsevier, vol. 20(4), pages 583-600, April.
    6. Marimon, Ramon & McGrattan, Ellen & Sargent, Thomas J., 1990. "Money as a medium of exchange in an economy with artificially intelligent agents," Journal of Economic Dynamics and Control, Elsevier, vol. 14(2), pages 329-373, May.
    7. Wright, Randall, 1995. "Search, evolution, and money," Journal of Economic Dynamics and Control, Elsevier, vol. 19(1-2), pages 181-206.
    Full references (including those not matched with items on IDEAS)

    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. Aurélien Nioche & Basile Garcia & Germain Lefebvre & Thomas Boraud & Nicolas P. Rougier & Sacha Bourgeois-Gironde, 2019. "Coordination over a unique medium of exchange under information scarcity," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-11, December.
    2. Bonetto, Federico & Iacopetta, Maurizio, 2019. "A dynamic analysis of nash equilibria in search models with fiat money," Journal of Mathematical Economics, Elsevier, vol. 84(C), pages 207-224.
    3. Sethi, Rajiv, 1999. "Evolutionary stability and media of exchange," Journal of Economic Behavior & Organization, Elsevier, vol. 40(3), pages 233-254, November.
    4. 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.
    5. Zakaria Babutsidze & Maurizio Iacopetta, 2021. "The Emergence of Money: Computational Approaches with Fully and Boundedly Rational Agents," Computational Economics, Springer;Society for Computational Economics, vol. 58(1), pages 3-26, June.
    6. William Luther, 2014. "Evenly rotating economy: A new modeling technique for an old equilibrium construct," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 27(4), pages 403-417, December.
    7. Gabriele Camera, 2001. "Search, Dealers, and the Terms of Trade," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 4(3), pages 680-694, July.
    8. Maurizion Iacopetta, 2016. "Commercial revolutions, search, and development," Documents de Travail de l'OFCE 2016-08, Observatoire Francais des Conjonctures Economiques (OFCE).
    9. Maurizio Iacopetta, 2016. "Commercial Revolutions, Search, and Development," 2016 Meeting Papers 1394, Society for Economic Dynamics.
    10. Kiyotaki, Nobuhiro & Lagos, Ricardo & Wright, Randall, 2016. "Introduction to the symposium issue on money and liquidity," Journal of Economic Theory, Elsevier, vol. 164(C), pages 1-9.
    11. E. Samanidou & E. Zschischang & D. Stauffer & T. Lux, 2001. "Microscopic Models of Financial Markets," Papers cond-mat/0110354, arXiv.org.
    12. Jack Ochs & John Duffy, 1999. "Emergence of Money as a Medium of Exchange: An Experimental Study," American Economic Review, American Economic Association, vol. 89(4), pages 847-877, September.
    13. Alexander W. Salter & William J. Luther, 2014. "Synthesizing State and Spontaneous Order Theories of Money," Advances in Austrian Economics, in: Steven Horwitz & Roger Koppl (ed.), Entangled Political Economy, volume 18, pages 161-178, Emerald Publishing Ltd.
    14. John Duffy, 1998. "Monetary theory in the laboratory," Review, Federal Reserve Bank of St. Louis, issue Sep, pages 9-26.
    15. E. Samanidou & E. Zschischang & D. Stauffer & T. Lux, 2007. "Agent-based Models of Financial Markets," Papers physics/0701140, arXiv.org.
    16. Camera, G., 2001. "Search, Dealers, and the Terms of Trade," Purdue University Economics Working Papers 1140, Purdue University, Department of Economics.
    17. Iacopetta, Maurizio, 2019. "The Emergence Of Money: A Dynamic Analysis," Macroeconomic Dynamics, Cambridge University Press, vol. 23(7), pages 2573-2596, October.
    18. Hodgson, Geoffrey M. & Knudsen, Thorbjorn, 2004. "The complex evolution of a simple traffic convention: the functions and implications of habit," Journal of Economic Behavior & Organization, Elsevier, vol. 54(1), pages 19-47, May.
    19. repec:pit:wpaper:334 is not listed on IDEAS
    20. Kindler, A. & Bourgeois-Gironde, S. & Lefebvre, G. & Solomon, S., 2017. "New leads in speculative behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 467(C), pages 365-379.
    21. Basci, Erdem, 1999. "Learning by imitation," Journal of Economic Dynamics and Control, Elsevier, vol. 23(9-10), pages 1569-1585, September.

    More about this item

    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:eee:dyncon:v:25:y:2001:i:3-4:p:295-319. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: http://www.elsevier.com/locate/jedc .

    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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jedc .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.