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Modeling Volcker as a non-absorbing state: agnostic identification of a Markov-switching VAR

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  • Michael T. Owyang

Abstract

Recently, models of monetary policy have been constructed to include structural breaks to account for changes in policymaker preferences or operating procedures. These models typically assume that when changes occur, they happen once and for all. In this paper, we allow the policymaker and the economy to switch freely between regimes. We find that not only does the nature and effect of innovations to monetary policy change, but switching the policy rule and the economy's subsequent response can in and of itself alter the path of the economy. We find the switch itself can generate disinflationary dynamics.

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Bibliographic Info

Paper provided by Federal Reserve Bank of St. Louis in its series Working Papers with number 2002-018.

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Date of creation: 2002
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Handle: RePEc:fip:fedlwp:2002-018

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Keywords: Monetary policy ; Vector autoregression;

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References

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  1. Uhlig, Harald, 2001. "Did the Fed surprise the markets in 2001? A case study for VARs with sign restrictions," SFB 373 Discussion Papers 2001,98, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
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  3. Christopher Sims & Tao Zha, 2002. "Macroeconomic switching," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
  4. Christopher A. Sims & Tao Zha, 1994. "Error Bands for Impulse Responses," Cowles Foundation Discussion Papers 1085, Cowles Foundation for Research in Economics, Yale University.
  5. Uhlig, H.F.H.V.S., 1999. "What are the Effects of Monetary Policy on Output? Results from an Agnostic Identification Procedure," Discussion Paper 1999-28, Tilburg University, Center for Economic Research.
  6. Orphanides, Athanasios & Williams, John C., 2003. "Imperfect knowledge, inflation expectations, and monetary policy," CFS Working Paper Series 2003/40, Center for Financial Studies (CFS).
  7. Owyang, Michael T. & Ramey, Garey, 2001. "Regime Switching and Monetary Policy Measurement," University of California at San Diego, Economics Working Paper Series qt24q32688, Department of Economics, UC San Diego.
  8. Daniel F. Waggoner & Tao Zha, 2000. "A Gibbs simulator for restricted VAR models," Working Paper 2000-3, Federal Reserve Bank of Atlanta.
  9. Jon Faust, 1998. "The robustness of identified VAR conclusions about money," International Finance Discussion Papers 610, Board of Governors of the Federal Reserve System (U.S.).
  10. Hoover, Kevin D. & Perez, Stephen J., 1994. "Post hoc ergo propter once more an evaluation of 'does monetary policy matter?' in the spirit of James Tobin," Journal of Monetary Economics, Elsevier, vol. 34(1), pages 47-74, August.
  11. Hanson, Michael S., 2006. "Varying monetary policy regimes: A vector autoregressive investigation," Journal of Economics and Business, Elsevier, vol. 58(5-6), pages 407-427.
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  14. Ben S. Bernanke & Ilian Mihov, 1995. "Measuring Monetary Policy," NBER Working Papers 5145, National Bureau of Economic Research, Inc.
  15. Chang-Jin Kim & Charles R. Nelson, 1999. "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262112388, December.
  16. John Geweke, 1991. "Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments," Staff Report 148, Federal Reserve Bank of Minneapolis.
  17. Michael T. Owyang, 2001. "Persistence, excess volatility, and volatility clusters in inflation," Review, Federal Reserve Bank of St. Louis, issue Nov., pages 41-52.
  18. Richard Dennis, 2001. "The policy preferences of the U.S. Federal Reserve," Working Paper Series 2001-08, Federal Reserve Bank of San Francisco.
  19. 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.
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  24. Daniel L. Thornton, 1998. "The Federal Reserve's operating procedure, nonborrowed reserves, borrowed reserves and the liquidity effect," Working Papers 1998-009, Federal Reserve Bank of St. Louis.
  25. Jean Boivin & Marc Giannoni, 2002. "Assessing changes in the monetary transmission mechanism: a VAR approach," Economic Policy Review, Federal Reserve Bank of New York, issue May, pages 97-111.
  26. Hamilton, James D, 1983. "Oil and the Macroeconomy since World War II," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 228-48, April.
  27. repec:wop:humbsf:2001-98 is not listed on IDEAS
  28. Chang-Jin Kim & Charles R. Nelson, 1998. "Business Cycle Turning Points, A New Coincident Index, And Tests Of Duration Dependence Based On A Dynamic Factor Model With Regime Switching," The Review of Economics and Statistics, MIT Press, vol. 80(2), pages 188-201, May.
  29. Hans-Martin Krolzig, 2000. "Predicting Markov-Switching Vector Autoregressive Processes," Economics Series Working Papers 2000-W31, University of Oxford, Department of Economics.
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Citations

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Cited by:
  1. 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, issue Nov, pages 53-66.
  2. Kostas Mouratidis & Nicola Spagnolo, 2004. "Evaluating currency crises: the case of the European Monetary System," Money Macro and Finance (MMF) Research Group Conference 2003 69, Money Macro and Finance Research Group.
  3. Chang-Jin Kim & Jeremy M. Piger & Richard Startz, 2004. "Estimation of Markov regime-switching regression models with endogenous switching," Working Papers 2003-015, Federal Reserve Bank of St. Louis.
  4. Neville Francis & Michael T. Owyang, 2004. "Monetary policy in a Markov-switching VECM: implications for the cost of disinflation and the price puzzle," Working Papers 2003-001, Federal Reserve Bank of St. Louis.

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