IDEAS home Printed from https://ideas.repec.org/a/adr/anecst/y1993i32p113-135.html
   My bibliography  Save this article

VAR et prévisions conjoncturelles

Author

Listed:
  • Emmanuelle Clément
  • Jean-Marc Germain

Abstract

This paper presents a method based on vector autoregression (VAR) modelling technique to issue macroeconomic forecasts for the French economy. The accuracy of an eight variables VAR model forecasts are compared to the "Notes de conjoncture de l'INSEE" forecasts using a backward testing method on quaterly data. The VAR modelling technique appears to provide a usefull tool to forecast French macroeconomic variables as GDP or aggregate consumption.

Suggested Citation

  • Emmanuelle Clément & Jean-Marc Germain, 1993. "VAR et prévisions conjoncturelles," Annals of Economics and Statistics, GENES, issue 32, pages 113-135.
  • Handle: RePEc:adr:anecst:y:1993:i:32:p:113-135
    as

    Download full text from publisher

    File URL: http://www.jstor.org/stable/20075928
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Gossé, Jean-Baptiste & Guillaumin, Cyriac, 2013. "L’apport de la représentation VAR de Christopher A. Sims à la science économique," L'Actualité Economique, Société Canadienne de Science Economique, vol. 89(4), pages 309-319, Décembre.

    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:adr:anecst:y:1993:i:32:p:113-135. 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: Secretariat General or Laurent Linnemer (email available below). General contact details of provider: https://edirc.repec.org/data/ensaefr.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.