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What Explains the Varying Monetary Response to Technology Shocks in G-7 Countries?

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  • Neville R. Francis

    (Department of Economics, University of North Carolina)

  • Michael T. Owyang

    (Research Department, Federal Reserve Bank of St. Louis)

  • Athena T. Theodorou

    (Planning Department, Cyprus Tourism Organization)

Abstract

In a recent paper, Galí, López-Salido, and Vallées (2003) examined the Federal Reserve’s response to VAR-identified technology shocks. They found that during the Martin-Burns- Miller era, the Federal Reserve responded to technology shocks by overstabilizing output, while in the Volcker-Greenspan era, the Federal Reserve 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, the type of monetary policy rule, the responsiveness of the rule to output and inflation fluctuations, and the response to technology shocks.

Suggested Citation

  • Neville R. Francis & Michael T. Owyang & Athena T. Theodorou, 2005. "What Explains the Varying Monetary Response to Technology Shocks in G-7 Countries?," International Journal of Central Banking, International Journal of Central Banking, vol. 1(3), December.
    • Handle: RePEc:ijc:ijcjou:y:2005:q:4:a:2
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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. 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.
    3. Jordi Gali & Pau Rabanal, 2004. "Technology Shocks and Aggregate Fluctuations: How Well Does the RBS Model Fit Postwar U.S. Data?," NBER Working Papers 10636, National Bureau of Economic Research, Inc.
    4. 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.
    5. 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.
    6. 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.
    7. 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.).
    8. 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.
    9. 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.
    10. 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).
    11. 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.
    12. Hashmat Khan & John Tsoukalas, 2005. "Technology Shocks and UK Business Cycles," Macroeconomics 0512006, University Library of Munich, Germany.
    13. 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.

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    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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