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Real-time Optimal Monetary Policy with Undistinguishable Model Parameters and Shock Processes Uncertainty

  • Alessandro Flamini

    ()

    (Department of Economics, University of Sheffield, UK)

  • Costas Milas

    ()

    (Department of Economics, Keele University, UK; Rimini Centre for Economic Analysis, Rimini, Italy)

This paper studies optimal real time monetary policy when the central bank takes the volatility of the output gap and inflation as proxy of the undistinguishable uncertainty on the exogenous disturbances and the parameters of its model. The paper shows that when the uncertainty surrounding a specific state variable increases, the optimal policy response to that variable should increase too while the optimal response to the remaining state variables should attenuate or be unaffected. In this way the central bank moves preemptively to reduce the risk of large deviations of the economy from the steady state that would deteriorate the distribution forecasts. When an empirical test is carried out on the US economy the model predictions tend to be consistent with the data.

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Paper provided by The Rimini Centre for Economic Analysis in its series Working Paper Series with number 38_09.

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Date of creation: Jan 2009
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Handle: RePEc:rim:rimwps:38_09
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  1. 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.
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  3. Clarida, Richard & Galí, Jordi & Gertler, Mark, 1998. "Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory," CEPR Discussion Papers 1908, C.E.P.R. Discussion Papers.
  4. Söderström, Ulf, 1999. "Monetary policy with uncertain parameters," Working Paper Series 83, Sveriges Riksbank (Central Bank of Sweden).
  5. John B. Taylor, 1999. "Monetary Policy Rules," NBER Books, National Bureau of Economic Research, Inc, number tayl99-1.
  6. Arturo Estrella & Frederic S. Mishkin, 2000. "Rethinking the Role of NAIRU in Monetary Policy: Implications of Model Formulation and Uncertainty," NBER Working Papers 6518, National Bureau of Economic Research, Inc.
  7. Amund Holmsen & Jan F. Qvigstad & Øistein Røisland & Kristin Solberg-Johansen, 2008. "Communicating monetary policy intentions: The case of Norges Bank," Working Paper 2008/20, Norges Bank.
  8. Ben Martin & Chris Salmon, 1999. "Should uncertain monetary policy-makers do less?," Bank of England working papers 99, Bank of England.
  9. Athanasios Orphanides & Simon van Norden, 2004. "The reliability of inflation forecasts based on output gap estimates in real time," Finance and Economics Discussion Series 2004-68, Board of Governors of the Federal Reserve System (U.S.).
  10. Gerberding, Christina & Seitz, Franz & Worms, Andreas, 2005. "How the Bundesbank really conducted monetary policy," The North American Journal of Economics and Finance, Elsevier, vol. 16(3), pages 277-292, December.
  11. Jeremy B. Rudd & Karl Whelan, 2001. "New tests of the New-Keynesian Phillips curve," Finance and Economics Discussion Series 2001-30, Board of Governors of the Federal Reserve System (U.S.).
  12. John B. Taylor, 1999. "A Historical Analysis of Monetary Policy Rules," NBER Chapters, in: Monetary Policy Rules, pages 319-348 National Bureau of Economic Research, Inc.
  13. Efrem Castelnuovo, 2004. "Taylor rules, omitted variables, and interest rate smoothing in the US," Macroeconomics 0403009, EconWPA.
  14. David Cobham & Christopher Adam, 2005. "Real-time output gaps in the estimation of Taylor rules: A red herring?," Money Macro and Finance (MMF) Research Group Conference 2005 42, Money Macro and Finance Research Group.
  15. Christopher Martin & Costas Milas, 2009. "Uncertainty And Monetary Policy Rules In The United States," Economic Inquiry, Western Economic Association International, vol. 47(2), pages 206-215, 04.
  16. Simon Hall & Chris Salmon & Tony Yates & Nicoletta Batini, 1999. "Uncertainty and Simple Monetary Policy Rules - An illustration for the United Kingdom," Bank of England working papers 96, Bank of England.
  17. Christopher A. Sims, 2002. "The Role of Models and Probabilities in the Monetary Policy Process," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 33(2), pages 1-62.
  18. John B. Taylor, 1999. "Introduction to "Monetary Policy Rules"," NBER Chapters, in: Monetary Policy Rules, pages 1-14 National Bureau of Economic Research, Inc.
  19. Cinzia Alcidi & Alessandro Flamini & Andrea Fracasso, 2011. "Policy Regime Changes, Judgment and Taylor rules in the Greenspan Era," Economica, London School of Economics and Political Science, vol. 78(309), pages 89-107, January.
  20. Jesús Fernández-Villaverde & Juan F Rubio-Ramírez, 2007. "How Structural Are Structural Parameters?," Levine's Bibliography 843644000000000057, UCLA Department of Economics.
  21. Michael Woodford, 2003. "Optimal Interest-Rate Smoothing," Review of Economic Studies, Oxford University Press, vol. 70(4), pages 861-886.
  22. Alessandro Flamini, 2003. "CPI Inflation Targeting and Exchange Rate Pass-through," Macroeconomics 0306017, EconWPA.
  23. Sack, Brian, 2000. "Does the fed act gradually? A VAR analysis," Journal of Monetary Economics, Elsevier, vol. 46(1), pages 229-256, August.
  24. Hansen, Lars Peter & Heaton, John & Yaron, Amir, 1996. "Finite-Sample Properties of Some Alternative GMM Estimators," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(3), pages 262-80, July.
  25. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-54, July.
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