DSGE models for monetary policy analysis
Abstract: Monetary DSGE models are widely used because they fit the data well and can be used to address important monetary policy questions. We 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.
File(s): File format is application/pdf http://www.frbatlanta.org/documents/cqer/publicationscq/cqerwp/cqer_wp10-03.pdf
Provider: Federal Reserve Bank of Atlanta
Part of Series: FRB Atlanta CQER Working Paper
Publication Date: 2010