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What explains the varying monetary response to technology shocks in G-7 countries?

Author

Listed:
  • Neville Francis
  • Michael T. Owyang
  • Athena T. Theodorou
Abstract
In a recent paper, Gal, Lpez-Salido, and Valls (2003) examined the Federal Reserve?s response to VAR-identified technology shocks. They found that during the Martin-Burns- Miller era, the Fed responded to technology shocks by overstabilizing output, while in the Volcker-Greenspan era, the Fed adopted an inflation-targeting rule. We extend their analysis to countries of the G-7; moreover, we consider the factors that may contribute to differing monetary responses across countries. Specifically, we find a relationship between the volatility of capital investment, type of monetary policy rule, the responsiveness of the rule to output and inflation fluctuations, and the response to technology shocks.

Suggested Citation

  • Neville Francis & Michael T. Owyang & Athena T. Theodorou, 2005. "What explains the varying monetary response to technology shocks in G-7 countries?," Working Papers 2004-002, Federal Reserve Bank of St. Louis.
    • Handle: RePEc:fip:fedlwp:2004-002
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    1. Uhlig, Harald, 2005. "What are the effects of monetary policy on output? Results from an agnostic identification procedure," Journal of Monetary Economics, Elsevier, vol. 52(2), pages 381-419, March.
    2. King, Robert G & Watson, Mark W, 1998. "The Solution of Singular Linear Difference Systems under Rational Expectations," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 1015-1026, November.
    3. Julio J. Rotemberg & Michael Woodford, 1999. "Interest Rate Rules in an Estimated Sticky Price Model," NBER Chapters, in: Monetary Policy Rules, pages 57-126, National Bureau of Economic Research, Inc.
    4. Richard Clarida & Jordi Galí & Mark Gertler, 2000. "Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(1), pages 147-180.
    5. Miles S. Kimball & John G. Fernald & Susanto Basu, 2006. "Are Technology Improvements Contractionary?," American Economic Review, American Economic Association, vol. 96(5), pages 1418-1448, December.
    6. Robert King & Alexander L. Wolman, 1999. "What Should the Monetary Authority Do When Prices Are Sticky?," NBER Chapters, in: Monetary Policy Rules, pages 349-404, National Bureau of Economic Research, Inc.
    7. Christiano, Lawrence J. & Eichenbaum, Martin & Evans, Charles L., 1999. "Monetary policy shocks: What have we learned and to what end?," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 2, pages 65-148, Elsevier.
    8. Frank Smets & Raf Wouters, 2005. "Comparing shocks and frictions in US and euro area business cycles: a Bayesian DSGE Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 161-183.
    9. Ben S. Bernanke & Ilian Mihov, 1998. "Measuring Monetary Policy," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(3), pages 869-902.
    10. Taylor, John B, 1993. "The Use of the New Macroeconometrics for Policy Formulation," American Economic Review, American Economic Association, vol. 83(2), pages 300-305, May.
    11. Jean Boivin & Marc Giannoni, 2001. "Has monetary policy become less powerful?," Staff Reports 144, Federal Reserve Bank of New York.
    12. Eric M. Leeper & Christopher A. Sims & Tao Zha, 1996. "What Does Monetary Policy Do?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 27(2), pages 1-78.
    13. Gali, Jordi & Lopez-Salido, J. David & Valles, Javier, 2003. "Technology shocks and monetary policy: assessing the Fed's performance," Journal of Monetary Economics, Elsevier, vol. 50(4), pages 723-743, May.
    14. Jordi Gali, 1999. "Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?," American Economic Review, American Economic Association, vol. 89(1), pages 249-271, March.
    15. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    16. Harald Uhlig, 2004. "Do Technology Shocks Lead to a Fall in Total Hours Worked?," Journal of the European Economic Association, MIT Press, vol. 2(2-3), pages 361-371, 04/05.
    17. Nelson, Edward & Nikolov, Kalin, 2004. "Monetary Policy and Stagflation in the UK," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(3), pages 293-318, June.
    18. Hamilton, James D, 1983. "Oil and the Macroeconomy since World War II," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 228-248, April.
    19. Clarida, Richard & Gali, Jordi & Gertler, Mark, 1998. "Monetary policy rules in practice Some international evidence," European Economic Review, Elsevier, vol. 42(6), pages 1033-1067, June.
    20. Uhlig, H.F.H.V.S., 1999. "What are the Effects of Monetary Policy on Output? Results from an Agnostic Identification Procedure," Other publications TiSEM 2e0fa8dd-ead5-4c6b-97cb-1, Tilburg University, School of Economics and Management.
    21. Neville Francis & Michael T. Owyang & Athena T. Theodorou, 2003. "The use of long-run restrictions for the identification of technology shocks," Review, Federal Reserve Bank of St. Louis, vol. 85(Nov), pages 53-66.
    22. Caballero, Ricardo J & Hammour, Mohamad L, 1994. "The Cleansing Effect of Recessions," American Economic Review, American Economic Association, vol. 84(5), pages 1350-1368, December.
    23. Francis, Neville & Ramey, Valerie A., 2005. "Is the technology-driven real business cycle hypothesis dead? Shocks and aggregate fluctuations revisited," Journal of Monetary Economics, Elsevier, vol. 52(8), pages 1379-1399, November.
    24. Lawrence J. Christiano & Michele Boldrin & Jonas D. M. Fisher, 2001. "Habit Persistence, Asset Returns, and the Business Cycle," American Economic Review, American Economic Association, vol. 91(1), pages 149-166, March.
    25. Neville Francis & Valerie A. Ramey, 2006. "The Source of Historical Economic Fluctuations: An Analysis Using Long-Run Restrictions," NBER Chapters, in: NBER International Seminar on Macroeconomics 2004, pages 17-73, National Bureau of Economic Research, Inc.
    26. Lawrence J. Christiano & Martin Eichenbaum & Robert Vigfusson, 2003. "What Happens After a Technology Shock?," NBER Working Papers 9819, National Bureau of Economic Research, Inc.
    27. Robert G. King & Alexander L. Wolman, 2013. "Inflation Targeting in a St. Louis Model of the 21st Century," Review, Federal Reserve Bank of St. Louis, issue Nov, pages 543-574.
    28. Frederic S. Mishkin & Adam S. Posen, 1997. "Inflation targeting: lessons from four countries," Economic Policy Review, Federal Reserve Bank of New York, vol. 3(Aug), pages 9-110.
    29. Neville Francis & Valerie A. Ramey, 2002. "Is the Technology-Driven Real Business Cycle Hypothesis Dead?," NBER Working Papers 8726, National Bureau of Economic Research, Inc.
    30. John B. Taylor, 1999. "Monetary Policy Rules," NBER Books, National Bureau of Economic Research, Inc, number tayl99-1.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Fabrizio Mattesini & Lorenza Rossi, 2008. "Productivity Shocks And Optimal Monetary Policy In A Unionized Labor Market Economy," Manchester School, University of Manchester, vol. 76(5), pages 578-611, September.
    2. Galí, Jordi & Rabanal, Pau, 2004. "Technology Shocks and Aggregate Fluctuations: How Well Does the RBC Model Fit Post-War US Data?," CEPR Discussion Papers 4522, C.E.P.R. Discussion Papers.
    3. Hofmann, Boris & Peersman, Gert & Straub, Roland, 2012. "Time variation in U.S. wage dynamics," Journal of Monetary Economics, Elsevier, vol. 59(8), pages 769-783.
    4. Mattesini, Fabrizio & Rossi, Lorenza, 2009. "Optimal monetary policy in economies with dual labor markets," Journal of Economic Dynamics and Control, Elsevier, vol. 33(7), pages 1469-1489, July.
    5. Neville Francis & Michael T. Owyang & Jennifer E. Roush & Riccardo DiCecio, 2014. "A Flexible Finite-Horizon Alternative to Long-Run Restrictions with an Application to Technology Shocks," The Review of Economics and Statistics, MIT Press, vol. 96(4), pages 638-647, October.
    6. Rossi, Lorenza & Mattesini, Fabrizio, 2007. "Productivity Shock and Optimal Monetary Policy in a Unionized Labor Market. Forthcoming: The Manchester School," MPRA Paper 8414, University Library of Munich, Germany, revised 2008.
    7. Jordi Gali, 2005. "Trends in hours, balanced growth, and the role of technology in the business cycle," Review, Federal Reserve Bank of St. Louis, vol. 87(Jul), pages 459-486.
    8. Lorenza Rossi & Fabrizio Mattesini, 2008. "We analyze, in this paper, a DSGE New Keynesian model with indi- visible labor where firms may belong to two different final goods producing sectors one where wages and employment are determined in co," DISCE - Quaderni dell'Istituto di Economia e Finanza ief0077, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    9. The Pham, 2011. "Growth, volatility and stabilisation policy in a DSGE model with nominal rigidities and learning-by-doing," International Economics and Economic Policy, Springer, vol. 8(3), pages 307-322, September.
    10. Hashmat Khan & John Tsoukalas, 2005. "Technology Shocks and UK Business Cycles," Macroeconomics 0512006, University Library of Munich, Germany.
    11. Haroon Mumtaz & Francesco Zanetti, 2012. "Neutral Technology Shocks And The Dynamics Of Labor Input: Results From An Agnostic Identification," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(1), pages 235-254, February.
    12. Edward Nelson, 2012. "The correlation between money and output in the United Kingdom: resolution of a puzzle," Finance and Economics Discussion Series 2012-29, Board of Governors of the Federal Reserve System (U.S.).
    13. Rossi, Lorenza & Mattesini, Fabrizio, 2007. "Optimal Monetary Policy in a Dual Labor Market Economy," MPRA Paper 2468, University Library of Munich, Germany, revised 15 Mar 2007.

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    More about this item

    Keywords

    Technology; Monetary policy; Taylor's rule;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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