IDEAS home Printed from https://ideas.repec.org/p/may/mayecw/n510594.html
   My bibliography  Save this paper

Some linear-Quadratic Solution Methods to Stochastic Nonlinear Rational Expectations Models

Author

Listed:
  • Maurice Roche

Abstract

Commonly used linear-quadratic solution methods to nonlinear models are described in detail using a closed economy real business cycle model as an illustration. We find that all method yield identical coefficients on optimal decision rules. Some methods are easier to use in economies where distortions do not allow a planners solution to solve for the competitive equilibrium. Finally, we find that for some methods only a few modifications to existing computer programs are needed when solving different models.

Suggested Citation

  • Maurice Roche, 1994. "Some linear-Quadratic Solution Methods to Stochastic Nonlinear Rational Expectations Models," Economics Department Working Paper Series n510594, Department of Economics, National University of Ireland - Maynooth.
    • Handle: RePEc:may:mayecw:n510594
    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.

    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:may:mayecw:n510594. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/demayie.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.