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An alternative explanation of the price puzzle

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  • Giordani, Paolo

Abstract

This paper proposes a simple explanation for the frequent appearance of a price puzzle in VARs designed for monetary policy analysis. It suggests that the best method of solving the puzzle implies a close connection between theory and empirics rather than the introduction of a commodity price. It proves that the omission of a measure of output gap (or potential output) spuriously produces a price puzzle (and several other incorrect conclusions) in a wide class of commonly used models. This can happen even if the model admits a triangular identification and if the forecasts produced by the misspecified VAR are optimal. When the model is tested on US data, all predictions are supported.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Monetary Economics.

Volume (Year): 51 (2004)
Issue (Month): 6 (September)
Pages: 1271-1296

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Handle: RePEc:eee:moneco:v:51:y:2004:i:6:p:1271-1296

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Web page: http://www.elsevier.com/locate/inca/505566

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  1. Jordi Galí & Richard Clarida, 1993. "Sources of real exchage rate fluctuations: How important are nominal shocks?," Economics Working Papers 66, Department of Economics and Business, Universitat Pompeu Fabra, revised Jan 1994.
  2. James H. Stock & Mark W. Watson, 1999. "Forecasting Inflation," NBER Working Papers 7023, National Bureau of Economic Research, Inc.
  3. Christopher A. Sims, 1992. "Interpreting the Macroeconomic Time Series Facts: The Effects of Monetary Policy," Cowles Foundation Discussion Papers 1011, Cowles Foundation for Research in Economics, Yale University.
  4. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2001. "Nominal rigidities and the dynamic effects of a shock to monetary policy," Working Paper Series WP-01-08, Federal Reserve Bank of Chicago.
  5. Svensson, Lars E. O., 2000. "Open-economy inflation targeting," Journal of International Economics, Elsevier, vol. 50(1), pages 155-183, February.
  6. Lars E.O. Svensson, 2000. "The Zero Bound in an Open Economy: A Foolproof Way of Escaping from a Liquidity Trap," NBER Working Papers 7957, National Bureau of Economic Research, Inc.
  7. Svensson, L.E.O., 1998. "Inflation Targeting as a Monetary Policy Rule," Papers 646, Stockholm - International Economic Studies.
  8. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 1998. "Monetary Policy Shocks: What Have We Learned and to What End?," NBER Working Papers 6400, National Bureau of Economic Research, Inc.
  9. Laurence M. Ball, 1999. "Policy Rules for Open Economies," NBER Chapters, in: Monetary Policy Rules, pages 127-156 National Bureau of Economic Research, Inc.
  10. Bagliano, Fabio C. & Favero, Carlo A., 1998. "Measuring monetary policy with VAR models: An evaluation," European Economic Review, Elsevier, vol. 42(6), pages 1069-1112, June.
  11. Glenn Rudebusch & Lars E.O. Svensson, 1999. "Policy Rules for Inflation Targeting," NBER Chapters, in: Monetary Policy Rules, pages 203-262 National Bureau of Economic Research, Inc.
  12. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-73, September.
  13. Canova, Fabio, 1993. "Detrending and Business Cycle Facts," CEPR Discussion Papers 782, C.E.P.R. Discussion Papers.
  14. Svensson, Lars E O, 1996. "Inflation Forecast Targeting: Implementing and Monitoring Inflation Targets," CEPR Discussion Papers 1511, C.E.P.R. Discussion Papers.
  15. Joutz, Fred & Stekler, H. O., 2000. "An evaluation of the predictions of the Federal Reserve," International Journal of Forecasting, Elsevier, vol. 16(1), pages 17-38.
  16. Scott, Alasdair, 2003. "APPLIED MACROECONOMETRICS Carlo A. Favero Oxford University Press, 2001," Macroeconomic Dynamics, Cambridge University Press, vol. 7(02), pages 313-315, April.
  17. Canova, Fabio & Pina, Joaquim Pivis, 1999. "Monetary Policy Misspecification in VAR Models," CEPR Discussion Papers 2333, C.E.P.R. Discussion Papers.
  18. Soderlind, Paul, 1999. "Solution and estimation of RE macromodels with optimal policy," European Economic Review, Elsevier, vol. 43(4-6), pages 813-823, April.
  19. David Romer, 2000. "Keynesian Macroeconomics without the LM Curve," NBER Working Papers 7461, National Bureau of Economic Research, Inc.
  20. John P. Judd & Glenn D. Rudebusch, 1998. "Taylor's rule and the Fed, 1970-1997," Economic Review, Federal Reserve Bank of San Francisco, pages 3-16.
  21. 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.
  22. 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.
  23. Gali, Jordi, 1992. "How Well Does the IS-LM Model Fit Postwar U.S. Data," The Quarterly Journal of Economics, MIT Press, vol. 107(2), pages 709-38, May.
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