Working Paper

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.

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Authors

    Christiano, Lawrence J.

    Walentin, Karl

    Trabandt, Mathias

Bibliographic Information

Provider: Federal Reserve Bank of Atlanta

Part of Series: FRB Atlanta CQER Working Paper

Publication Date: 2010

Number: 2010-02