IDEAS home Printed from https://ideas.repec.org/a/kap/compec/v24y2004i2p159-183.html
   My bibliography  Save this article

On Stochastic Simulation of Forward-Looking Models

Author

Listed:
  • Dag Kolsrud

Abstract

The solution of a nonlinear macroeconometric model with expectations of future-dated variables generally has to be approximated by numerical simulation. A brief review of deterministic, and stochastic dynamic simulations of a backward-looking model is followed by a conceptual presentation of methods for dynamic simulation of a forward-looking (rational expectations) model. I distinguish between uncertainty faced by rational agents and by the modeller, and suggest different ways of simulating random variables in the model. Simulations of simple linear and nonlinear univariate time-series models illustrate the methods.

Suggested Citation

  • Dag Kolsrud, 2004. "On Stochastic Simulation of Forward-Looking Models," Computational Economics, Springer;Society for Computational Economics, vol. 24(2), pages 159-183, September.
  • Handle: RePEc:kap:compec:v:24:y:2004:i:2:p:159-183
    as

    Download full text from publisher

    File URL: http://journals.kluweronline.com/issn/0927-7099/contents
    Download Restriction: Access to the full text of the articles in this series is restricted.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Dag Kolsrud, 2008. "Stochastic Ceteris Paribus Simulations," Computational Economics, Springer;Society for Computational Economics, vol. 31(1), pages 21-43, February.

    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:kap:compec:v:24:y:2004:i:2:p:159-183. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.