Article

Forecasting With DSGE Models

Kai Christoffel, Günter Coenen and Anders Warne

in The Oxford Handbook of Economic Forecasting

Published in print July 2011 | ISBN: 9780195398649
Published online September 2012 | | DOI: http://dx.doi.org/10.1093/oxfordhb/9780195398649.013.0005

Series: Oxford Handbooks

 Forecasting With DSGE Models

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This article reviews and illustrates the methodology of forecasting with dynamic stochastic general equilibrium (DSGE) models using Bayesian methods. It discusses an algorithm for estimating the predictive distribution of the observed variables based on draws from the posterior distribution of the DSGE model parameters and simulation of future paths for the variables with the model. The article is organized as follows. Section 2 sketches the new area-wide model (NAWM) and briefly reports on its empirical implementation. Section 3 discusses how the predictive distribution of a DSGE model can be estimated and then presents the alternative forecasting models that are used in the empirical analysis. Section 4 covers the forecast evaluation of the NAWM, focusing first on point forecasts and then on density forecasts. Section 5 summarizes the main findings and concludes.

Keywords: predictive distribution; algorithm; DSGE model; NAWM; economic forecasting; Bayesian methods

Article.  15623 words. 

Subjects: Economics ; Econometric and Statistical Methods and Methodology: General

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