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Imperfect knowledge and the pitfalls of optimal control monetary policy

  • Athanasios Orphanides
  • John C. Williams

This paper examines the robustness characteristics of optimal control policies derived under the assumption of rational expectations to alternative models of expectations formation and uncertainty about the natural rates of interest and unemployment. We assume that agents have imperfect knowledge about the precise structure of the economy and form expectations using a forecasting model that they continuously update based on incoming data. We also allow for central bank uncertainty regarding the natural rates of interest and unemployment. We find that the optimal control policy derived under the assumption of perfect knowledge about the structure of the economy can perform poorly when knowledge is imperfect. These problems are exacerbated by natural rate uncertainty, even when the central bank's estimates of natural rates are efficient. We show that the optimal control approach can be made more robust to the presence of imperfect knowledge by deemphasizing the stabilization of real economic activity and interest rates relative to inflation in the central bank loss function. That is, robustness to the presence of imperfect knowledge about the economy provides an incentive to employ a "conservative" central banker. We then examine two types of simple monetary policy rules from the literature that have been found to be robust to model misspecification in other contexts. We find that these policies are robust to the alternative models of learning that we study and natural rate uncertainty and outperform the optimal control policy and generally perform as well as the robust optimal control policy that places less weight on stabilizing economic activity and interest rates.

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Paper provided by Federal Reserve Bank of San Francisco in its series Working Paper Series with number 2008-09.

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Date of creation: 2008
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Handle: RePEc:fip:fedfwp:2008-09
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  1. Milton Friedman, 1947. "Lerner on the Economics of Control," Journal of Political Economy, University of Chicago Press, vol. 55, pages 405.
  2. Timothy Cogley & Thomas J. Sargent, 2002. "Evolving Post-World War II U.S. Inflation Dynamics," NBER Chapters, in: NBER Macroeconomics Annual 2001, Volume 16, pages 331-388 National Bureau of Economic Research, Inc.
  3. Athanasios Orphanides & John C. Williams, 2003. "Imperfect Knowledge, Inflation Expectations, and Monetary Policy," NBER Working Papers 9884, National Bureau of Economic Research, Inc.
  4. John C. Williams, 1999. "Simple rules for monetary policy," Finance and Economics Discussion Series 1999-12, Board of Governors of the Federal Reserve System (U.S.).
  5. Alex Cukierman & Francesco Lippi, 2003. "Endogenous Monetary Policy with Unobserved Potential Output," CEIS Research Paper 26, Tor Vergata University, CEIS.
  6. Thomas J Sargent, 2007. "Evolution and Intelligent Design," Levine's Bibliography 122247000000001821, UCLA Department of Economics.
  7. Svensson, Lars O & Tetlow, Robert J, 2005. "Optimal Policy Projections," MPRA Paper 839, University Library of Munich, Germany.
  8. Athanasios Orphanides & Simon van Norden, 2002. "The Unreliability of Output-Gap Estimates in Real Time," The Review of Economics and Statistics, MIT Press, vol. 84(4), pages 569-583, November.
  9. Milani, Fabio, 2007. "Expectations, learning and macroeconomic persistence," Journal of Monetary Economics, Elsevier, vol. 54(7), pages 2065-2082, October.
  10. Athanasios Orphanides & John C. Williams, 2007. "Inflation targeting under imperfect knowledge," Economic Review, Federal Reserve Bank of San Francisco, pages 1-23.
  11. Clark, Todd E. & Kozicki, Sharon, 2004. "Estimating equilibrium real interest rates in real-time," Discussion Paper Series 1: Economic Studies 2004,32, Deutsche Bundesbank, Research Centre.
  12. Svensson, Lars E. O. & Woodford, Michael, 2003. "Indicator variables for optimal policy," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 691-720, April.
  13. William A. Brock & Steven N. Durlauf & Kenneth D. West, 2005. "Model uncertainty and policy evaluation: some theory and empirics," Proceedings, Federal Reserve Bank of San Francisco.
  14. Wiliam Branch & George W. Evans, 2005. "A Simple Recursive Forecasting Model," University of Oregon Economics Department Working Papers 2005-3, University of Oregon Economics Department, revised 01 Feb 2005.
  15. Marc P. Giannoni & Michael Woodford, 2003. "Optimal Inflation Targeting Rules," NBER Working Papers 9939, National Bureau of Economic Research, Inc.
  16. Ann-Charlotte Eliasson & Peter Isard & Douglas Laxton, 1999. "Simple Monetary Policy Rules Under Model Uncertainty," IMF Working Papers 99/75, International Monetary Fund.
  17. Thomas Laubach and John C. Williams, 2001. "Measuring the Natural Rate of Interest," Computing in Economics and Finance 2001 35, Society for Computational Economics.
  18. Andrew Levin & Volker Wieland & John Williams, 2000. "The Performance Of Forecast-Based Monetary Policy Rules Under Model Uncertainty," Computing in Economics and Finance 2000 203, Society for Computational Economics.
  19. Andrew T. Levin & John C. Williams, 2003. "Robust monetary policy with competing reference models," Working Paper Series 2003-10, Federal Reserve Bank of San Francisco.
  20. Noah Williams & Lars E.O. Svensson, 2005. "Monetary Policy with Model Uncertainty: Distribution Forecast Targeting," Computing in Economics and Finance 2005 108, Society for Computational Economics.
  21. Orphanides, Athanasios & Porter, Richard D. & Reifschneider, David & Tetlow, Robert & Finan, Frederico, 2000. "Errors in the measurement of the output gap and the design of monetary policy," Journal of Economics and Business, Elsevier, vol. 52(1-2), pages 117-141.
  22. Mccallum, Bennet T., 1988. "Robustness properties of a rule for monetary policy," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 29(1), pages 173-203, January.
  23. Athanasios Orphanides & John C. Williams, 2003. "Robust monetary policy rules with unknown natural rates," Finance and Economics Discussion Series 2003-11, Board of Governors of the Federal Reserve System (U.S.).
  24. 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.
  25. Gaspar, Vítor & Smets, Frank & Vestin, David, 2006. "Adaptive learning, persistence, and optimal monetary policy," Working Paper Series 0644, European Central Bank.
  26. Kenneth Rogoff, 1985. "The Optimal Degree of Commitment to an Intermediate Monetary Target," The Quarterly Journal of Economics, Oxford University Press, vol. 100(4), pages 1169-1189.
  27. Schmidt-Hebbel, Klaus & Tapia, Matias, 2002. "Inflation targeting in Chile," The North American Journal of Economics and Finance, Elsevier, vol. 13(2), pages 125-146, August.
  28. Taylor, John B., 1999. "The robustness and efficiency of monetary policy rules as guidelines for interest rate setting by the European central bank," Journal of Monetary Economics, Elsevier, vol. 43(3), pages 655-679, June.
  29. Andrew T.. Levin & Volker Wieland & John Williams, 1999. "Robustness of Simple Monetary Policy Rules under Model Uncertainty," NBER Chapters, in: Monetary Policy Rules, pages 263-318 National Bureau of Economic Research, Inc.
  30. Robert J. Tetlow, 2010. "Real-time model uncertainty in the United States: 'Robust' policies put to the test," Finance and Economics Discussion Series 2010-15, Board of Governors of the Federal Reserve System (U.S.).
  31. Thomas Laubach, 2001. "Measuring The NAIRU: Evidence From Seven Economies," The Review of Economics and Statistics, MIT Press, vol. 83(2), pages 218-231, May.
  32. Marcet, Albert & Sargent, Thomas J., 1989. "Convergence of least squares learning mechanisms in self-referential linear stochastic models," Journal of Economic Theory, Elsevier, vol. 48(2), pages 337-368, August.
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