Date Added: Jun 2010
There has been enormous progress in recent years in the development of Dynamic, Stochastic General Equilibrium (DSGE) models for the purpose of monetary policy analysis. Monetary DSGE models are widely used because they fit the data well and they can be used to address important monetary policy questions. The authors provide a selective review of these developments. Policy analysis with DSGE models requires using data to assign numerical values to model parameters. The paper describes and implements Bayesian moment matching and impulse response matching procedures for this purpose.