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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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  1. 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 5829, C.E.P.R. Discussion Papers.
  2. Timothy Cogley & Giorgio E. Primiceri & Thomas J. Sargent, 2010. "Inflation-Gap Persistence in the US," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(1), pages 43-69, January.
  3. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
  4. 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) 607, Bank of Italy, Economic Research and International Relations Area.
  5. Boivin, Jean & Kiley, Michael T. & Mishkin, Frederic S., 2010. "How Has the Monetary Transmission Mechanism Evolved Over Time?," Handbook of Monetary Economics, in: Benjamin M. Friedman & Michael Woodford (ed.), Handbook of Monetary Economics, edition 1, volume 3, chapter 8, pages 369-422 Elsevier.
  6. 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.
  7. Banbura, Marta & Giannone, Domenico & Reichlin, Lucrezia, 2007. "Bayesian VARs with Large Panels," CEPR Discussion Papers 6326, C.E.P.R. Discussion Papers.
  8. Luigi Paciello, 2012. "Monetary Policy and Price Responsiveness to Aggregate Shocks under Rational Inattention," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(7), pages 1375-1399, October.
  9. Dupor, Bill & Han, Jing & Tsai, Yi-Chan, 2009. "What do technology shocks tell us about the New Keynesian paradigm?," Journal of Monetary Economics, Elsevier, vol. 56(4), pages 560-569, May.
  10. Kadiyala, K. Rao & Karlsson, Sune, 1994. "Numerical Aspects of Bayesian VAR-modeling," Working Paper Series in Economics and Finance 12, Stockholm School of Economics.
  11. Juan F. Rubio-Ramirez & Daniel Waggoner & Tao Zha, 2006. "Markov-Switching Structural Vector Autoregressions: Theory and Application," Computing in Economics and Finance 2006 69, Society for Computational Economics.
  12. Fabio Canova & Luca Gambetti & Evi Pappa, 2007. "The Structural Dynamics of Output Growth and Inflation: Some International Evidence," Economic Journal, Royal Economic Society, vol. 117(519), pages C167-C191, 03.
  13. Richard Clarida & Jordi Gali & Mark Gertler, 1999. "The Science of Monetary Policy: A New Keynesian Perspective," NBER Working Papers 7147, National Bureau of Economic Research, Inc.
  14. Rochelle M. Edge & Thomas Laubach & John C. Williams, 2003. "The responses of wages and prices to technology shocks," Working Paper Series 2003-21, Federal Reserve Bank of San Francisco.
  15. Daniel F. Waggoner & Tao Zha, 2000. "Likelihood-preserving normalization in multiple equation models," Working Paper 2000-8, Federal Reserve Bank of Atlanta.
  16. Thomas Doan & Robert B. Litterman & Christopher A. Sims, 1983. "Forecasting and Conditional Projection Using Realistic Prior Distributions," NBER Working Papers 1202, National Bureau of Economic Research, Inc.
  17. Bartosz Mackowiak & Mirko Wiederholt, 2008. "Business Cycle Dynamics under Rational Inattention," 2008 Meeting Papers 1059, Society for Economic Dynamics.
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Cited by:
  1. Lawrence J. Christiano & Martin S. Eichenbaum & Mathias Trabandt, 2013. "Unemployment and business cycles," International Finance Discussion Papers 1089, Board of Governors of the Federal Reserve System (U.S.).
  2. Lawrence J. Christiano & Mathias Trabandt & Karl Walentin, 2010. "Involuntary unemployment and the business cycle," CQER Working Paper 2010-03, Federal Reserve Bank of Atlanta.
  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. 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?," IMES Discussion Paper Series 10-E-22, Institute for Monetary and Economic Studies, Bank of Japan.
  5. Slobodyan, Sergey & Wouters, Raf, 2012. "Learning in an estimated medium-scale DSGE model," Journal of Economic Dynamics and Control, Elsevier, vol. 36(1), pages 26-46.

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