IDEAS home Printed from https://ideas.repec.org/p/clt/sswopa/705.html
   My bibliography  Save this paper

Bayesian Economist ... Bayesian Agents I: An Alternative Approach to Optimal Learning

Author

Listed:
  • El-Gamal, Mahmoud A.
  • Sundaram, Rangarajan K.

Abstract

No abstract is available for this item.

Suggested Citation

  • El-Gamal, Mahmoud A. & Sundaram, Rangarajan K., 1989. "Bayesian Economist ... Bayesian Agents I: An Alternative Approach to Optimal Learning," Working Papers 705, California Institute of Technology, Division of the Humanities and Social Sciences.
  • Handle: RePEc:clt:sswopa:705
    as

    Download full text from publisher

    File URL: http://www.hss.caltech.edu/SSPapers/sswp705.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Leonard J. Mirman & Kevin Reffett & Marc Santugini, 2016. "On learning and growth," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 61(4), pages 641-684, April.
    2. Yates, Anthony & Ellison, Martin, 2007. "Escaping Nash and Volatile Inflation," CEPR Discussion Papers 6483, C.E.P.R. Discussion Papers.
    3. Tom Ahn & Jacob L. Vigdor, 2021. "When Incentives Matter Too Much: Explaining Significant Responses to Irrelevant Information," Journal of Human Capital, University of Chicago Press, vol. 15(4), pages 629-664.
    4. Bertocchi, Graziella & Spagat, Michael, 1998. "Growth under uncertainty with experimentation," Journal of Economic Dynamics and Control, Elsevier, vol. 23(2), pages 209-231, September.
    5. Timothy Cogley, 2008. "Commentary on \\"Optimal monetary policy under uncertainty: a Markov jump-linear-quadratic approach\\"," Review, Federal Reserve Bank of St. Louis, vol. 90(Jul), pages 295-300.
    6. Koulovatianos, Christos & Mirman, Leonard J. & Santugini, Marc, 2009. "Optimal growth and uncertainty: Learning," Journal of Economic Theory, Elsevier, vol. 144(1), pages 280-295, January.
    7. Christos Koulovatianos & Leonard J. Mirman & Marc Santugini, 2006. "Investment in a Monopoly with Bayesian Learning," Vienna Economics Papers vie0603, University of Vienna, Department of Economics.
    8. Wieland, Volker, 2000. "Learning by doing and the value of optimal experimentation," Journal of Economic Dynamics and Control, Elsevier, vol. 24(4), pages 501-534, April.
    9. Sacco, Pier Luigi, 1996. "Subjective metaphysics and learning from experience: The causal psychology of rational choice," Journal of Economic Psychology, Elsevier, vol. 17(2), pages 221-244, April.
    10. Francisco J. Buera & Alexander Monge‐Naranjo & Giorgio E. Primiceri, 2011. "Learning the Wealth of Nations," Econometrica, Econometric Society, vol. 79(1), pages 1-45, January.
    11. Leonard Mirman & Marc Santugini, 2014. "Learning and Technological Progress in Dynamic Games," Dynamic Games and Applications, Springer, vol. 4(1), pages 58-72, March.
    12. Christos Koulovatianos & Leonard J. Mirman & Marc Santugini, 2006. "Investment in a Monopoly with Bayesian Learning," Vienna Economics Papers 0603, University of Vienna, Department of Economics.
    13. Nyarko, Yaw & Olson, Lars J., 1996. "Optimal growth with unobservable resources and learning," Journal of Economic Behavior & Organization, Elsevier, vol. 29(3), pages 465-491, May.
    14. Edward E. Schlee, 2001. "The Value of Information in Efficient Risk-Sharing Arrangements," American Economic Review, American Economic Association, vol. 91(3), pages 509-524, June.
    15. Fu, Wentao & Le Riche, Antoine, 2021. "Endogenous growth model with Bayesian learning and technology selection," Mathematical Social Sciences, Elsevier, vol. 114(C), pages 58-71.

    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:clt:sswopa:705. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Victoria Mason (email available below). General contact details of provider: http://www.hss.caltech.edu/ss .

    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.