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A Defense Of The Fomc

Listed author(s):
  • Martin Ellison
  • Thomas J. Sargent

We defend the forecasting performance of the FOMC from the recent criticism of Christina and David Romer. Our argument is that the FOMC forecasts a worst-case scenario that it uses to design decisions that will work well enough (are robust) despite possible misspecification of its model. Because these FOMC forecasts are not predictions of what the FOMC expects to occur under its model, it is inappropriate to compare their performance in a horse race against other forecasts. Our interpretation of the FOMC as a robust policymaker can explain all the findings of the Romers and rationalises differences between FOMC forecasts and forecasts published in the Greenbook by the staff of the Federal Reserve System.

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File URL: http://hdl.handle.net/10.1111/j.1468-2354.2012.00711.x
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Article provided by Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association in its journal International Economic Review.

Volume (Year): 53 (2012)
Issue (Month): 4 (November)
Pages: 1047-1065

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Handle: RePEc:wly:iecrev:v:53:y:2012:i:4:p:1047-1065
DOI: j.1468-2354.2012.00711.x
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  1. Brock,W.A. & Durlauf,S.N., 2004. "Local robustness analysis : theory and application," Working papers 22, Wisconsin Madison - Social Systems.
  2. Hansen, Lars Peter & Mayer, Ricardo & Sargent, Thomas, 2010. "Robust hidden Markov LQG problems," Journal of Economic Dynamics and Control, Elsevier, vol. 34(10), pages 1951-1966, October.
  3. Gadi Barlevy, 2009. "Policymaking under uncertainty: Gradualism and robustness," Economic Perspectives, Federal Reserve Bank of Chicago, issue Q II, pages 38-55.
  4. Larry G. Epstein & Martin Schneider, 2008. "Ambiguity, Information Quality, and Asset Pricing," Journal of Finance, American Finance Association, vol. 63(1), pages 197-228, 02.
  5. J. Tetlow, Robert & von zur Muehlen, Peter, 2001. "Robust monetary policy with misspecified models: Does model uncertainty always call for attenuated policy?," Journal of Economic Dynamics and Control, Elsevier, vol. 25(6-7), pages 911-949, June.
  6. Dennis, Richard & Leitemo, Kai & Söderström, Ulf, 2007. "Monetary Policy in a Small Open Economy with a Preference for Robustness," CEPR Discussion Papers 6067, C.E.P.R. Discussion Papers.
  7. Whittle, Peter, 2002. "Risk Sensitivity, A Strangely Pervasive Concept," Macroeconomic Dynamics, Cambridge University Press, vol. 6(01), pages 5-18, February.
  8. Carlos Capistrán-Carmona, 2005. "Bias in Federal Reserve Inflation Forecasts: Is the Federal Reserve Irrational or Just Cautious?," Computing in Economics and Finance 2005 127, Society for Computational Economics.
  9. Pierpaolo Benigno & Salvatore Nisticò, 2009. "International Portfolio Allocation under Model Uncertainty," NBER Working Papers 14734, National Bureau of Economic Research, Inc.
  10. Tetlow, Robert J. & Ironside, Brian, 2006. "Real-time model uncertainty in the United States: the Fed from 1996-2003," Working Paper Series 0610, European Central Bank.
  11. Christina D. Romer & David H. Romer, 2004. "A New Measure of Monetary Shocks: Derivation and Implications," American Economic Review, American Economic Association, vol. 94(4), pages 1055-1084, September.
  12. David Romer, 2010. "A New Data Set on Monetary Policy: The Economic Forecasts of Individual Members of the FOMC," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(5), pages 951-957, 08.
  13. Robert Tetlow & Peter von zur Muehlen, 2004. "Avoiding Nash Inflation: Bayesian and Robus Responses to Model Uncertainty," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 7(4), pages 869-899, October.
  14. Onatski, Alexei & Stock, James H., 2002. "Robust Monetary Policy Under Model Uncertainty In A Small Model Of The U.S. Economy," Macroeconomic Dynamics, Cambridge University Press, vol. 6(01), pages 85-110, February.
  15. Kenneth Kasa, 2000. "A robust Hansen-Sargent prediction formula," Working Paper Series 2000-11, Federal Reserve Bank of San Francisco.
  16. Kenneth Kasa, 1999. "Model uncertainty, robust policies, and the value of commitment," Working Paper Series 99-14, Federal Reserve Bank of San Francisco.
  17. Marc P. Giannoni, 2007. "Robust optimal monetary policy in a forward-looking model with parameter and shock uncertainty," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 179-213.
  18. Kai Leitemo & Ulf Söderström, 2005. "Robust monetary policy in the New-Keynesian framework," Macroeconomics 0508032, EconWPA.
  19. Ricardo J. Caballero & Arvind Krishnamurthy, 2007. "Collective Risk Management in a Flight to Quality Episode," NBER Working Papers 12896, National Bureau of Economic Research, Inc.
  20. Christina D. Romer & David H. Romer, 2008. "The FOMC versus the Staff: Where Can Monetary Policymakers Add Value?," American Economic Review, American Economic Association, vol. 98(2), pages 230-235, May.
  21. Kenneth Kasa, 2006. "Robustness and Information Processing," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 9(1), pages 1-33, January.
  22. Tetlow, Robert J., 2007. "On the robustness of simple and optimal monetary policy rules," Journal of Monetary Economics, Elsevier, vol. 54(5), pages 1397-1405, July.
  23. Harald Uhlig, 2009. "A Model of a Systemic Bank Run," NBER Working Papers 15072, National Bureau of Economic Research, Inc.
  24. Giannoni, Marc P., 2002. "Does Model Uncertainty Justify Caution? Robust Optimal Monetary Policy In A Forward-Looking Model," Macroeconomic Dynamics, Cambridge University Press, vol. 6(01), pages 111-144, February.
  25. Graham Elliott & Allan Timmermann & Ivana Komunjer, 2005. "Estimation and Testing of Forecast Rationality under Flexible Loss," Review of Economic Studies, Oxford University Press, vol. 72(4), pages 1107-1125.
  26. Giorgio Primiceri, 2005. "Why Inflation Rose and Fell: Policymakers' Beliefs and US Postwar Stabilization Policy," NBER Working Papers 11147, National Bureau of Economic Research, Inc.
  27. Robert J. Tetlow & Brian Ironside, 2007. "Real-Time Model Uncertainty in the United States: The Fed, 1996-2003," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(7), pages 1533-1561, October.
  28. Hansen, Lars Peter & Sargent, Thomas J., 2005. "Recursive robust estimation and control without commitment," Discussion Paper Series 1: Economic Studies 2005,28, Deutsche Bundesbank, Research Centre.
  29. Robert J. Tetlow & Peter von zur Muehlen, 2006. "Robustifying Learnability," 2006 Meeting Papers 439, Society for Economic Dynamics.
  30. Anastasios G. Karantounias with Lars Peter Hansen & Thomas J. Sargent, 2009. "Managing expectations and fiscal policy," FRB Atlanta Working Paper 2009-29, Federal Reserve Bank of Atlanta.
  31. Michael Woodford, 2006. "An Example of Robustly Optimal Monetary Policy with Near-Rational Expectations," Journal of the European Economic Association, MIT Press, vol. 4(2-3), pages 386-395, 04-05.
  32. Brock, William A. & Durlauf, Steven N. & Nason, James M. & Rondina, Giacomo, 2007. "Simple versus optimal rules as guides to policy," Journal of Monetary Economics, Elsevier, vol. 54(5), pages 1372-1396, July.
  33. William A. Brock & Steven N. Durlauf & Giacomo Rondina, 2008. "Frequency-Specific Effects of Stabilization Policies," American Economic Review, American Economic Association, vol. 98(2), pages 241-245, May.
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