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Design Limits and Dynamic Policy Analysis

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Author Info
William A. Brock
Steven N. Durlauf
Giacomo Rondina

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Abstract

This paper characterizes the frequency domain properties of feedback control rules in linear systems in order to better understand how different rules affect outcomes frequency by frequency. We are especially concerned in understanding how reductions of variance at some frequencies induce increases in variance at others. Tradeoffs of this type are known in the control literature as design limits. Design limits are important in understanding the full range of effects of stabilization policies. We extend existing results to account for discrete time bivariate systems with rational expectations. Application is made to the evaluation of monetary policy rules.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 14357.

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Date of creation: Sep 2008
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Handle: RePEc:nbr:nberwo:14357

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C6 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming
E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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  1. Woodford, Michael, 1999. "Optimal Monetary Policy Inertia," Manchester School, University of Manchester, vol. 67(0), pages 1-35, Supplemen. [Downloadable!] (restricted)
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  2. Christopher A. Sims & Tao Zha, 2006. "Were There Regime Switches in U.S. Monetary Policy?," American Economic Review, American Economic Association, vol. 96(1), pages 54-81, March. [Downloadable!]
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  3. Glenn D. Rudebusch & Lars E. O. Svensson, 1998. "Policy rules for inflation targeting," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
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  4. Bennett T. McCallum & Edward Nelson, 2004. "Targeting vs. instrument rules for monetary policy," Working Papers 2004-011, Federal Reserve Bank of St. Louis. [Downloadable!]
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  5. Taylor, John B., 1993. "Discretion versus policy rules in practice," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 39(1), pages 195-214, December. [Downloadable!] (restricted)
  6. Whiteman, Charles H, 1986. "An Analytical Policy Design under Rational Expectations," Econometrica, Econometric Society, vol. 54(6), pages 1387-1405, November. [Downloadable!] (restricted)
  7. Alexei Onatski & James H. Stock, 1999. "Robust monetary policy under model uncertainty in a small model of the U.S. economy," Proceedings, Federal Reserve Bank of San Francisco.
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  8. Otrok, Christopher, 2001. "Spectral Welfare Cost Functions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(2), pages 345-67, May.
  9. Whiteman, Charles H., 1985. "Spectral utility, wiener-hopf techniques, and rational expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 9(2), pages 225-240, October. [Downloadable!] (restricted)
  10. Thomas Sargent & Noah Williams & Tao Zha, 2006. "Shocks and Government Beliefs: The Rise and Fall of American Inflation," American Economic Review, American Economic Association, vol. 96(4), pages 1193-1224, September. [Downloadable!]
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  11. Onatski, Alexei, 2006. "Winding number criterion for existence and uniqueness of equilibrium in linear rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 30(2), pages 323-345, February. [Downloadable!] (restricted)
  12. Linde, Jesper, 2005. "Estimating New-Keynesian Phillips curves: A full information maximum likelihood approach," Journal of Monetary Economics, Elsevier, vol. 52(6), pages 1135-1149, September. [Downloadable!] (restricted)
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  13. Alexei Onatski & Noah Williams, 2003. "Modeling Model Uncertainty," NBER Working Papers 9566, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  14. Otrok, Christopher & Ravikumar, B. & Whiteman, Charles H., 2002. "Habit formation: a resolution of the equity premium puzzle?," Journal of Monetary Economics, Elsevier, vol. 49(6), pages 1261-1288, September. [Downloadable!] (restricted)
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