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.
Bayesian analysis, DSGE models, Model evaluation, Vector autoregressions
Taylor and Francis
An, Sungbae and Schorfheide, Frank.
Bayesian Analysis of DSGE Models. (2007). Econometric Reviews. 26, (2-4), 113-172. Research Collection School Of Economics.
Available at: http://ink.library.smu.edu.sg/soe_research/362
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