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DSGE models and their use in monetary policy

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  • Michael Dotsey

Abstract

The past 10 years or so have seen the development of a new class of models that are proving useful for monetary policy: dynamic stochastic general equilibrium (DSGE) models. Many central banks around the world, including the Swedish central bank, the European Central Bank, the Norwegian central bank, and the Federal Reserve, use these models in formulating monetary policy. In this article, Mike Dotsey discusses the major features of DSGE models and why these models are useful to monetary policymakers. He outlines the general way in which they are used in conjunction with other tools commonly employed by monetary policymakers and points out the promise of using these models as well as the pitfalls.

Suggested Citation

  • Michael Dotsey, 2013. "DSGE models and their use in monetary policy," Business Review, Federal Reserve Bank of Philadelphia, issue Q2, pages 10-16.
    • Handle: RePEc:fip:fedpbr:y:2013:i:q2:p:10-16
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    References listed on IDEAS

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    1. Kiley, Michael T., 2013. "Output gaps," Journal of Macroeconomics, Elsevier, vol. 37(C), pages 1-18.
    2. Alejandro Justiniano & Giorgio Primiceri & Andrea Tambalotti, 2011. "Investment Shocks and the Relative Price of Investment," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(1), pages 101-121, January.
    3. Maik H. Wolters, 2015. "Evaluating Point and Density Forecasts of DSGE Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(1), pages 74-96, January.
    4. Marco Del Negro & Frank Schorfheide, 2009. "Monetary Policy Analysis with Potentially Misspecified Models," American Economic Review, American Economic Association, vol. 99(4), pages 1415-1450, September.
    5. Wolters, Maik H., 2011. "Forecasting under Model Uncertainty," VfS Annual Conference 2011 (Frankfurt, Main): The Order of the World Economy - Lessons from the Crisis 48723, Verein für Socialpolitik / German Economic Association.
    6. Jeffrey R. Campbell & Charles L. Evans & Jonas D.M. Fisher & Alejandro Justiniano, 2012. "Macroeconomic Effects of Federal Reserve Forward Guidance," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 43(1 (Spring), pages 1-80.
    7. Marco Del Negro & Frank Schorfheide, 2004. "Priors from General Equilibrium Models for VARS," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(2), pages 643-673, May.
    8. Roc Armenter, 2011. "Output gaps: uses and limitation," Business Review, Federal Reserve Bank of Philadelphia, issue Q1, pages 1-8.
    9. Hess T. Chung & Michael T. Kiley & Jean-Philippe Laforte, 2010. "Documentation of the Estimated, Dynamic, Optimization-based (EDO) model of the U.S. economy: 2010 version," Finance and Economics Discussion Series 2010-29, Board of Governors of the Federal Reserve System (U.S.).
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    Cited by:

    1. Chen, David Y. & Li, Tongzhe, 2014. "Financial crises, Asian stock indices, and current accounts: An Asian-U.S. comparative study," Journal of Asian Economics, Elsevier, vol. 34(C), pages 66-78.
    2. Lyu, Juyi & Le, Vo Phuong Mai & Meenagh, David & Minford, Patrick, 2023. "UK monetary policy in an estimated DSGE model with financial frictions," Journal of International Money and Finance, Elsevier, vol. 130(C).
    3. Belanger, Gilles, 2014. "The Overlooked Assumption Behind the New Keynesian Phillips Curve," MPRA Paper 55629, University Library of Munich, Germany.

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