IDEAS home Printed from https://ideas.repec.org/p/fth/helsec/87.html
   My bibliography  Save this paper

On the Learnability of Rational Expectations Equilibria in Three Business Cycle Models

Author

Listed:
  • Packalen, M.

Abstract

In this thesis we analyze the learnability of rational expectiations equilibria in three general equilibrium business cycle models. The economic example business cycles models comprise the basic real business cycles model, an increasing returns model and a model with both static and dynamic complementarities. In these models the business cycles are driven by both shocks that affect the production technology and by taste shocks that affect the marginal rate of substitution between consumption and labor. In the two latter models we also analyze the existence and learnability of sunspot rational expectations equilibria.

Suggested Citation

  • Packalen, M., 2000. "On the Learnability of Rational Expectations Equilibria in Three Business Cycle Models," University of Helsinki, Department of Economics 87, Department of Economics.
    • Handle: RePEc:fth:helsec:87
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Adam, K., 2000. "Adaptive Learning and the Cyclical Behavior of Output and Inflation," Economics Working Papers eco2000/25, European University Institute.
    2. Adam, Klaus, 2005. "Learning To Forecast And Cyclical Behavior Of Output And Inflation," Macroeconomic Dynamics, Cambridge University Press, vol. 9(1), pages 1-27, February.
    3. Slobodyan, Sergey, 2005. "Indeterminacy, sunspots, and development traps," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 159-185, January.
    4. James B. Bullard & John Duffy, 2004. "Learning and structural change in macroeconomic data," Working Papers 2004-016, Federal Reserve Bank of St. Louis.

    More about this item

    Keywords

    EXPECTATIONS ; BUSINESS CYCLES ; LEARNING;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

    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:fth:helsec:87. 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: Thomas Krichel (email available below). General contact details of provider: https://edirc.repec.org/data/valhefi.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.