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Monetary Magic? How the Fed Improved the Supply Side of the Economy

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  • Silvia Sgherri
  • Tamim Bayoumi

Abstract

Extending recent theoretical contributions on sources of inflation inertia, we argue that monetary uncertainty accounts for sluggish expectations adjustment to nominal disturbances. Estimating a model in which rational individuals learn over time about shifts in U.S. monetary policy and the Phillips curve, we find strong evidence that this link exists. These results question the standard approach for evaluating monetary rules by assuming unchanged private sector responses, help clarify the role of monetary stability in reducing output variability in the U.S. and elsewhere, and tell a subtle and dynamic story of the interaction between monetary policy and the supply-side of the eco

Suggested Citation

  • Silvia Sgherri & Tamim Bayoumi, 2004. "Monetary Magic? How the Fed Improved the Supply Side of the Economy," Econometric Society 2004 Australasian Meetings 20, Econometric Society.
    • Handle: RePEc:ecm:ausm04:20
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    References listed on IDEAS

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    1. Julio J. Rotemberg & Michael Woodford, 1998. "An Optimization-Based Econometric Framework for the Evaluation of Monetary Policy: Expanded Version," NBER Technical Working Papers 0233, National Bureau of Economic Research, Inc.
    2. Gertler, Mark, 1982. "Imperfect Information and Wage Inertia in the Business Cycle," Journal of Political Economy, University of Chicago Press, vol. 90(5), pages 967-987, October.
    3. Athanasios Orphanides & John Williams, 2004. "Imperfect Knowledge, Inflation Expectations, and Monetary Policy," NBER Chapters,in: The Inflation-Targeting Debate, pages 201-246 National Bureau of Economic Research, Inc.
    4. Erceg, Christopher J. & Levin, Andrew T., 2003. "Imperfect credibility and inflation persistence," Journal of Monetary Economics, Elsevier, vol. 50(4), pages 915-944, May.
    5. Ireland, Peter N., 2000. "Expectations, Credibility, And Time-Consistent Monetary Policy," Macroeconomic Dynamics, Cambridge University Press, vol. 4(04), pages 448-466, December.
    6. N. Gregory Mankiw & Ricardo Reis, 2002. "Sticky Information versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips Curve," The Quarterly Journal of Economics, Oxford University Press, vol. 117(4), pages 1295-1328.
    7. Kim, Chang-Jin, 1993. "Sources of Monetary Growth Uncertainty and Economic Activity: The Time-Varying-Parameter Model with Heteroskedastic Disturbances," The Review of Economics and Statistics, MIT Press, vol. 75(3), pages 483-492, August.
    8. John B. Taylor, 2001. "Expectations, open market operations, and changes in the federal funds rate," Review, Federal Reserve Bank of St. Louis, issue Jul, pages 33-58.
    9. Lawrence J. Christiano & Christopher J. Gust, 2000. "The expectations trap hypothesis," Economic Perspectives, Federal Reserve Bank of Chicago, issue Q II, pages 21-39.
    10. Sack, Brian & Wieland, Volker, 2000. "Interest-rate smoothing and optimal monetary policy: a review of recent empirical evidence," Journal of Economics and Business, Elsevier, vol. 52(1-2), pages 205-228.
    11. Julio Rotemberg & Michael Woodford, 1997. "An Optimization-Based Econometric Framework for the Evaluation of Monetary Policy," NBER Chapters,in: NBER Macroeconomics Annual 1997, Volume 12, pages 297-361 National Bureau of Economic Research, Inc.
    12. Hyun Song Shin & Jeffery D. Amato, 2003. "Public and private information in monetary policy models," BIS Working Papers 138, Bank for International Settlements.
    13. José Viñals, 2001. "Monetary Policy Issues in a Low Inflation Environment," Working Papers 0107, Banco de España;Working Papers Homepage.
    14. Clark, Peter & Laxton, Douglas & Rose, David, 2001. "An Evaluation of Alternative Monetary Policy Rules in a Model with Capacity Constraints," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 33(1), pages 42-64, February.
    15. repec:cup:macdyn:v:4:y:2000:i:4:p:448-66 is not listed on IDEAS
    16. Peter Isard & Douglas Laxton & Ann-Charlotte Eliasson, 1999. "Simple Monetary Policy Rules Under Model Uncertainty," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 6(4), pages 537-577, November.
    17. Orphanides, Athanasios, 2003. "Monetary policy evaluation with noisy information," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 605-631, April.
    18. 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.
    19. Evans, Martin, 1991. "Discovering the Link between Inflation Rates and Inflation Uncertainty," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 23(2), pages 169-184, May.
    20. Bennett T. McCallum, 2001. "Should Monetary Policy Respond Strongly to Output Gaps?," American Economic Review, American Economic Association, vol. 91(2), pages 258-262, May.
    21. Olivier Blanchard & John Simon, 2001. "The Long and Large Decline in U.S. Output Volatility," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 32(1), pages 135-174.
    22. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
    23. Rudebusch, Glenn D., 2002. "Term structure evidence on interest rate smoothing and monetary policy inertia," Journal of Monetary Economics, Elsevier, vol. 49(6), pages 1161-1187, September.
    24. Roberts John M., 2005. "How Well Does the New Keynesian Sticky-Price Model Fit the Data?," The B.E. Journal of Macroeconomics, De Gruyter, vol. 5(1), pages 1-39, September.
    25. Viñals, José, 2001. "Monetary Policy Issues in a Low Inflation Environment," CEPR Discussion Papers 2945, C.E.P.R. Discussion Papers.
    26. Fuhrer, Jeffrey C. & Hooker, Mark A., 1993. "Learning about monetary regime shifts in an overlapping wage contract model," Journal of Economic Dynamics and Control, Elsevier, vol. 17(4), pages 531-553, July.
    27. Laurence Ball, 2000. "Near-rationality and inflation in two monetary regimes," Proceedings, Federal Reserve Bank of San Francisco.
    28. Harvey, Andrew & Ruiz, Esther & Sentana, Enrique, 1992. "Unobserved component time series models with Arch disturbances," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 129-157.
    29. 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.
    30. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
    31. Rotemberg, Julio J., 1996. "Prices, output, and hours: An empirical analysis based on a sticky price model," Journal of Monetary Economics, Elsevier, vol. 37(3), pages 505-533, June.
    32. Jeff Fuhrer & George Moore, 1995. "Inflation Persistence," The Quarterly Journal of Economics, Oxford University Press, vol. 110(1), pages 127-159.
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    Cited by:

    1. Benedetto Molinari, 2014. "Sticky information and inflation persistence: evidence from the U.S. data," Empirical Economics, Springer, vol. 46(3), pages 903-935, May.

    More about this item

    Keywords

    Inflation dynamics; Monetary Policy; Kalman filter;

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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