DSGE models for monetary policy analysis
Lawrence Christiano,
Mathias Trabandt and
Karl Walentin
No 2010-02, FRB Atlanta CQER Working Paper from Federal Reserve Bank of Atlanta
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.
Date: 2010
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Related works:
Chapter: DSGE Models for Monetary Policy Analysis (2010)
Working Paper: DSGE Models for Monetary Policy Analysis (2010)
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