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Forecasting with a Bayesian DSGE Model: An Application to the Euro Area. NBB Working Paper Nr. 60, September 2004

Smets, Frank and Wouters, Raf. (2004) Forecasting with a Bayesian DSGE Model: An Application to the Euro Area. NBB Working Paper Nr. 60, September 2004. [Working Paper]

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    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.

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    Item Type: Working Paper
    Uncontrolled Keywords: Forecasting; Bayesian DSGE models; euro area.
    Subjects for non-EU documents: EU policies and themes > Policies & related activities > economic and financial affairs > monetary policy
    EU policies and themes > Policies & related activities > economic and financial affairs > EMU/EMS/euro
    Other > integration theory (see also researching and writing the EU in this section)
    Subjects for EU documents: UNSPECIFIED
    EU Series and Periodicals: UNSPECIFIED
    EU Annual Reports: UNSPECIFIED
    Series: Series > National Bank of Belgium (Brussels) > Working Papers
    Depositing User: Phil Wilkin
    Official EU Document: No
    Language: English
    Date Deposited: 26 Oct 2004
    Page Range: p. 36
    Last Modified: 15 Feb 2011 17:20
    URI: http://aei.pitt.edu/id/eprint/2015

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