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Limited information estimation and evaluation of DSGE models

Martin Fukač and Adrian Pagan ()

Journal of Applied Econometrics, 2010, vol. 25, issue 1, 55-70

Abstract: We advance the proposition that dynamic stochastic general equilibrium (DSGE) models should not only be estimated and evaluated with full information methods. These require that the complete system of equations be specified properly. Some limited information analysis, which focuses upon specific equations, is therefore likely to be a useful complement to full system analysis. Two major problems occur when implementing limited information methods. These are the presence of forward‐looking expectations in the system as well as unobservable non‐stationary variables. We present methods for dealing with both of these difficulties, and illustrate the interaction between full and limited information methods using a well‐known model. Copyright © 2009 John Wiley & Sons, Ltd.

Date: 2010
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https://doi.org/10.1002/jae.1130

Related works:
Journal Article: Limited information estimation and evaluation of DSGE models (2010) Downloads
Working Paper: Limited Information Estimation and Evaluation of DSGE Models (2008) Downloads
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