IDEAS home Printed from https://ideas.repec.org/p/nbb/reswpp/200409-2.html
   My bibliography  Save this paper

Forecasting with a Bayesian DSGE Model: an application to the euro area

Author

Listed:
  • Frank Smets

    () (European Central Bank
    CEPR
    University of Ghent)

  • Raf Wouters

    () (National Bank of Belgium, Research Department)

Abstract

In monetary policy strategies geared towards maintaining price stability conditional and unconditional forecasts of inflation and output play an important role. In this paper we illustrate how modern sticky-price dynamic stochastic general equilibrium (DSGE) models, estimated using Bayesian techniques, can become an additional useful tool in the forecasting kit of central banks. First, we show that the forecasting performance of such models compares well with a-theoretical vector autoregressions. Moreover, we illustrate how the posterior distribution of the model can be used to calculate the complete distribution of the forecast, as well as various inflation risk measures that have been proposed in the literature. Finally, the structural nature of the model allows computing forecasts conditional on a policy path. It also allows examining the structural sources of the forecast errors and their implications for monetary policy. Using those tools, we analyse macroeconomic developments in the euro area since the start of EMU.

Suggested Citation

  • Frank Smets & Raf Wouters, 2004. "Forecasting with a Bayesian DSGE Model: an application to the euro area," Working Paper Research 60, National Bank of Belgium.
  • Handle: RePEc:nbb:reswpp:200409-2
    as

    Download full text from publisher

    File URL: https://www.nbb.be/doc/oc/repec/reswpp/wp60.pdf
    Download Restriction: no

    Other versions of this item:

    More about this item

    Keywords

    forecasting; DSGE models; monetary policy; euro area;

    JEL classification:

    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit

    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:nbb:reswpp:200409-2. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (). General contact details of provider: http://edirc.repec.org/data/bnbgvbe.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.