IDEAS home Printed from https://ideas.repec.org/p/ecm/ausm04/81.html
   My bibliography  Save this paper

Two-sided Learning and Optimal Open Economy Monetary Policy

Author

Listed:
  • Timothy Kam

Abstract

In this paper, we consider a dynamic New Keynesian model of the small open economy in the light of bounded rationality. This entails private agents and the central bank updating their beliefs about the laws of motion of inflation, the output gap and real exchange rate when forming their optimal decisions. It is shown that a fundamental-shock representation of optimal discretionary policy in the small open economy will yield multiple REE, and in particular, the fundamentals REE cannot be achieved under expectational learning. The alternative representation of optimal policy - an open-economy forecast-based rule - yields a stable fundamentals REE only under certain parameterization when agents learn. Furthermore, the Taylor principle need not be satisfied because part of the stabilization is carried out by the real-exchange-rate channel

Suggested Citation

  • Timothy Kam, 2004. "Two-sided Learning and Optimal Open Economy Monetary Policy," Econometric Society 2004 Australasian Meetings 81, Econometric Society.
    • Handle: RePEc:ecm:ausm04:81
    as

    Download full text from publisher

    File URL: http://ecocomm.anu.edu.au/kam/
    File Function: main text
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Fujisaki, Seiya, 2013. "Taylor rules and equilibrium determinacy in a two-country model with non-traded goods," Economic Modelling, Elsevier, vol. 35(C), pages 597-603.
    2. Fujisaki, Seiya, 2012. "Interest Rate Control Rules and Macroeconomic Stability in a Heterogeneous Two-Country Model," MPRA Paper 37017, University Library of Munich, Germany.
    3. Fujisaki, Seiya, 2012. "Taylor rules and equilibrium determinacy in a two-country model with non-traded goods," MPRA Paper 40023, University Library of Munich, Germany.

    More about this item

    Keywords

    : Statistical learning; Optimal monetary policy; New Open Economy; Stability;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

    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:ecm:ausm04:81. 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: Christopher F. Baum (email available below). General contact details of provider: https://edirc.repec.org/data/essssea.html .

    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.