Publication Type

Journal Article

Version

Postprint

Publication Date

5-2007

Abstract

This paper reviews Bayesian methods that have been developed in recent years to estimate and evaluate dynamic stochastic general equilibrium (DSGE) models. We consider the estimation of linearized DSGE models, the evaluation of models based on Bayesian model checking, posterior odds comparisons, and comparisons to vector autoregressions, as well as the non-linear estimation based on a second-order accurate model solution. These methods are applied to data generated from correctly specified and misspecified linearized DSGE models and a DSGE model that was solved with a second-order perturbation method.

Keywords

Bayesian analysis, DSGE models, Model evaluation, Vector autoregressions

Discipline

Econometrics

Research Areas

Econometrics

Publication

Econometric Reviews

Volume

26

Issue

2-4

First Page

113

Last Page

172

ISSN

0747-4938

Identifier

10.1080/07474930701220071

Publisher

Taylor and Francis

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Additional URL

http://dx.doi.org/10.1080/07474930701220071

Included in

Econometrics Commons

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