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Testing the Opportunistic Approach to Monetary Policy

  • Christopher Martin

    (Brunel University)

  • Costas Milas


    (Keele University, Centre for Economic Research and School of Economic and Management Studies)

The Opportunistic Approach to Monetary Policy is an influential but untested model of optimal monetary policy. We provide the first tests of the model, using US data from 1983Q1-2004Q1. Our results support the Opportunistic Approach. We find that policymakers respond to the gap between inflation and an intermediate target that reflects the recent history of inflation. We find that there is no response of interest rates to inflation when inflation is within 1intermediate target.

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Paper provided by Centre for Economic Research, Keele University in its series Keele Economics Research Papers with number KERP 2007/02.

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Length: 32 pages
Date of creation: Jan 2007
Date of revision:
Handle: RePEc:kee:kerpuk:2007/02
Note: We are also grateful to Kalvinder Shields for making the real-time output data used in the Garratt, Lee, Mise and Shields (2005) working paper available to us.
Contact details of provider: Postal: Department of Economics, University of Keele, Keele, Staffordshire, ST5 5BG - United Kingdom
Phone: +44 (0)1782 584581
Fax: +44 (0)1782 717577
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Order Information: Postal: Centre for Economic Research, Research Institute for Public Policy and Management, Keele University, Staffordshire ST5 5BG - United Kingdom
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  1. Eitrheim, Oyvind & Terasvirta, Timo, 1996. "Testing the adequacy of smooth transition autoregressive models," Journal of Econometrics, Elsevier, vol. 74(1), pages 59-75, September.
  2. Kevin Lee & Emi Mise & Kalvinder Shields & Tony Garratt, 2005. "Real time Representations of the Output Gap," Money Macro and Finance (MMF) Research Group Conference 2005 26, Money Macro and Finance Research Group.
  3. Ben S. Bernanke & Frederic S. Mishkin, 1997. "Inflation Targeting: A New Framework for Monetary Policy?," Journal of Economic Perspectives, American Economic Association, vol. 11(2), pages 97-116, Spring.
  4. Robert J. Hodrick & Edward Prescott, 1981. "Post-War U.S. Business Cycles: An Empirical Investigation," Discussion Papers 451, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  5. Lin, Chien-Fu Jeff & Terasvirta, Timo, 1994. "Testing the constancy of regression parameters against continuous structural change," Journal of Econometrics, Elsevier, vol. 62(2), pages 211-228, June.
  6. Rudebusch, G.D., 1996. "Do Measures of Monetary Policy in a VAR Make Sense?," Papers 269, Banca Italia - Servizio di Studi.
  7. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-54, July.
  8. Athanasios Orphanides & David W. Wilcox, 1996. "The opportunistic approach to disinflation," Finance and Economics Discussion Series 96-24, Board of Governors of the Federal Reserve System (U.S.).
  9. Aksoy, Yunus & Orphanides, Athanasios & Small, David & Wieland, Volker, 2005. "A quantitative exploration of the opportunistic approach to disinflation," CFS Working Paper Series 2005/19, Center for Financial Studies (CFS).
  10. Minford, Patrick & Srinivasan, Naveen, 2005. "Opportunistic Monetary Policy: an Alternative Rationalization," Cardiff Economics Working Papers E2005/9, Cardiff University, Cardiff Business School, Economics Section.
  11. Christina Gerberding & Franz Seitz & Andreas Worms, 2005. "How the Bundesbank really conducted monetary policy," Computing in Economics and Finance 2005 60, Society for Computational Economics.
  12. repec:tpr:qjecon:v:115:y:2000:i:1:p:147-180 is not listed on IDEAS
  13. 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.
  14. Gerdesmeier, Dieter & Roffia, Barbara, 2004. "The relevance of real-time data in estimating reaction functions for the Euro area," Frankfurt School - Working Paper Series 56, Frankfurt School of Finance and Management.
  15. Hamilton, James D., 1999. "A Parametric Approach to Flexible Nonlinear Inference," University of California at San Diego, Economics Working Paper Series qt68s8157x, Department of Economics, UC San Diego.
  16. Dahl, Christian M. & Gonzalez-Rivera, Gloria, 2003. "Testing for neglected nonlinearity in regression models based on the theory of random fields," Journal of Econometrics, Elsevier, vol. 114(1), pages 141-164, May.
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