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Does Inflation Adjust Faster to Aggregate Technology Shocks than to Monetary Policy Shocks?

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  • Luigi Paciello

    (EIEF)

Abstract

This paper studies U.S. inflation adjustment speed to aggregate technology shocks and to monetary policy shocks in a medium size Bayesian VAR model. According to the model estimated on the 1959-2007 sample, inflation adjusts much faster to aggregate technology shocks than to monetary policy shocks. These results are robust to different identification assumptions and measures of aggregate prices. However, by separately estimating the model over the pre- and post-1980 periods, this paper further shows that inflation adjusts much faster to technology shocks than to monetary policy shocks in the post-1980 period, but not in the pre-1980 period.

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File URL: http://www.eief.it/files/2012/09/wp-17-does-inflation-adjust-faster-to-aggregate-technology-shocks-than-to-monetary-policy-shocks.pdf
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Bibliographic Info

Paper provided by Einaudi Institute for Economics and Finance (EIEF) in its series EIEF Working Papers Series with number 0917.

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Length: 31 pages
Date of creation: 2009
Date of revision: Apr 2011
Handle: RePEc:eie:wpaper:0917

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References

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  1. Luigi Paciello, 2009. "Monetary Policy and Price Responsiveness to Aggregate Shocks under Rational Inattention," EIEF Working Papers Series 0916, Einaudi Institute for Economics and Finance (EIEF), revised Sep 2011.
  2. De Mol, Christine & Giannone, Domenico & Reichlin, Lucrezia, 2006. "Forecasting Using a Large Number of Predictors: Is Bayesian Regression a Valid Alternative to Principal Components?," CEPR Discussion Papers, C.E.P.R. Discussion Papers 5829, C.E.P.R. Discussion Papers.
  3. Clarida, R. & Gali, J. & Gertler, M., 1999. "The Science of Monetary Policy: A New Keynesian Perspective," Working Papers, C.V. Starr Center for Applied Economics, New York University 99-13, C.V. Starr Center for Applied Economics, New York University.
  4. David Altig & Lawrence Christiano & Martin Eichenbaum & Jesper Linde, 2011. "Firm-Specific Capital, Nominal Rigidities and the Business Cycle," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(2), pages 225-247, April.
  5. Smets, Frank & Wouters, Raf, 2007. "Shocks and frictions in US business cycles: a Bayesian DSGE approach," Working Paper Series, European Central Bank 0722, European Central Bank.
  6. Luca Dedola & Stefano Neri, 2006. "What does a technology shock do? A VAR analysis with model-based sign restrictions," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area 607, Bank of Italy, Economic Research and International Relations Area.
  7. Bartosz Mackowiak & Mirko Wiederholt, 2008. "Business Cycle Dynamics under Rational Inattention," 2008 Meeting Papers 1059, Society for Economic Dynamics.
  8. Jean Boivin & Michael T. Kiley & Frederic S. Mishkin, 2010. "How has the monetary transmission mechanism evolved over time?," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.) 2010-26, Board of Governors of the Federal Reserve System (U.S.).
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  10. Canova, Fabio & Gambetti, Luca & Pappa, Evi, 2006. "The Structural Dynamics of Output Growth and Inflation: Some International Evidence," CEPR Discussion Papers, C.E.P.R. Discussion Papers 5878, C.E.P.R. Discussion Papers.
  11. Timothy Cogley & Giorgio E. Primiceri & Thomas J. Sargent, 2008. "Inflation-Gap Persistence in the U.S," NBER Working Papers 13749, National Bureau of Economic Research, Inc.
  12. Rochelle M. Edge & Thomas Laubach & John C. Williams, 2003. "The responses of wages and prices to technology shocks," Working Paper Series, Federal Reserve Bank of San Francisco 2003-21, Federal Reserve Bank of San Francisco.
  13. Domenico Giannone & Martha Banbura & Lucrezia Reichlin, 2008. "Bayesian VARs with large panels," ULB Institutional Repository 2013/13388, ULB -- Universite Libre de Bruxelles.
  14. Juan Francisco Rubio-Ramírez & Daniel Waggoner & Tao Zha, 2005. "Markov-switching structural vector autoregressions: theory and application," Working Paper, Federal Reserve Bank of Atlanta 2005-27, Federal Reserve Bank of Atlanta.
  15. Kadiyala, K Rao & Karlsson, Sune, 1997. "Numerical Methods for Estimation and Inference in Bayesian VAR-Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., John Wiley & Sons, Ltd., vol. 12(2), pages 99-132, March-Apr.
  16. Thomas Doan & Robert B. Litterman & Christopher A. Sims, 1986. "Forecasting and conditional projection using realistic prior distribution," Staff Report, Federal Reserve Bank of Minneapolis 93, Federal Reserve Bank of Minneapolis.
  17. Juan F. Rubio-Ram�rez & Daniel F. Waggoner & Tao Zha, 2010. "Structural Vector Autoregressions: Theory of Identification and Algorithms for Inference," Review of Economic Studies, Oxford University Press, vol. 77(2), pages 665-696.
  18. James H. Stock & Mark W. Watson, 2003. "Has the Business Cycle Changed and Why?," NBER Chapters, in: NBER Macroeconomics Annual 2002, Volume 17, pages 159-230 National Bureau of Economic Research, Inc.
  19. Dupor, Bill & Han, Jing & Tsai, Yi-Chan, 2009. "What do technology shocks tell us about the New Keynesian paradigm?," Journal of Monetary Economics, Elsevier, Elsevier, vol. 56(4), pages 560-569, May.
  20. Marta Bańbura, 2008. "Large Bayesian VARs," 2008 Meeting Papers 334, Society for Economic Dynamics.
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Citations

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Cited by:
  1. Christiano, Lawrence J. & Trabrandt, Mathias & Walentin, Karl, 2010. "Involuntary Unemployment and the Business Cycle," Working Paper Series 238, Sveriges Riksbank (Central Bank of Sweden), revised 01 Jun 2012.
  2. Lawrence J. Christiano & Martin S. Eichenbaum & Mathias Trabandt, 2013. "Unemployment and Business Cycles," NBER Working Papers 19265, National Bureau of Economic Research, Inc.
  3. Paciello, Luigi, 2009. "Monetary Policy Activism and Price Responsiveness to Aggregate Shocks under Rational Inattention," MPRA Paper 16407, University Library of Munich, Germany.
  4. Slobodyan, Sergey & Wouters, Raf, 2012. "Learning in an estimated medium-scale DSGE model," Journal of Economic Dynamics and Control, Elsevier, Elsevier, vol. 36(1), pages 26-46.
  5. Jouchi Nakajima & Nao Sudo & Takayuki Tsuruga, 2010. "How Well Do the Sticky Price Models Explain the Disaggregated Price Responses to Aggregate Technology and Monetary Policy Shocks?," Discussion papers e-10-007, Graduate School of Economics Project Center, Kyoto University.

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