IDEAS home Printed from https://ideas.repec.org/p/red/sed007/954.html
   My bibliography  Save this paper

Adaptive Learning as a Propagation Mechanism

Author

Listed:
  • Bruce Preston

    (Columbia University)

  • Stefano Eusepi

    (Federal Reserve Bank of New York)

Abstract

Finally, following Smith (1993), we estimate the model using indirect inference methods. The empirical implications of the model both under learning and rational expectations are explored. Furthermore, we test the relative importance of various model frictions and learning dynamics in capturing the volatility and persistence of observed macroeconomic data.

Suggested Citation

  • Bruce Preston & Stefano Eusepi, 2007. "Adaptive Learning as a Propagation Mechanism," 2007 Meeting Papers 954, Society for Economic Dynamics.
  • Handle: RePEc:red:sed007:954
    as

    Download full text from publisher

    File URL: https://economicdynamics.org/meetpapers/2007/paper_954.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Cogley, Timothy & Nason, James M, 1995. "Output Dynamics in Real-Business-Cycle Models," American Economic Review, American Economic Association, vol. 85(3), pages 492-511, June.
    2. Smith, A A, Jr, 1993. "Estimating Nonlinear Time-Series Models Using Simulated Vector Autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(S), pages 63-84, Suppl. De.
    Full references (including those not matched with items on IDEAS)

    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:red:sed007:954. 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: (Christian Zimmermann). General contact details of provider: http://edirc.repec.org/data/sedddea.html .

    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 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.

    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.