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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. 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.
  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. 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.
  4. Domenico Giannone & Martha Banbura & Lucrezia Reichlin, 2008. "Bayesian VARs with large panels," ULB Institutional Repository 2013/13388, ULB -- Universite Libre de Bruxelles.
  5. De Mol, Christine & Giannone, Domenico & Reichlin, Lucrezia, 2006. "Forecasting using a large number of predictors: is Bayesian regression a valid alternative to principal components?," Discussion Paper Series 1: Economic Studies 2006,32, Deutsche Bundesbank, Research Centre.
  6. Waggoner, Daniel F. & Zha, Tao, 2003. "Likelihood preserving normalization in multiple equation models," Journal of Econometrics, Elsevier, vol. 114(2), pages 329-347, June.
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  8. 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.
  9. Dedola, Luca & Neri, Stefano, 2007. "What does a technology shock do? A VAR analysis with model-based sign restrictions," Journal of Monetary Economics, Elsevier, vol. 54(2), pages 512-549, March.
  10. Jean Boivin & Michael T. Kiley & Frederic S. Mishkin, 2010. "How has the monetary transmission mechanism evolved over time?," Finance and Economics Discussion Series 2010-26, Board of Governors of the Federal Reserve System (U.S.).
  11. Mackowiak, Bartosz Adam & Wiederholt, Mirko, 2010. "Business Cycle Dynamics under Rational Inattention," CEPR Discussion Papers 7691, C.E.P.R. Discussion Papers.
  12. Kadiyala, K Rao & Karlsson, Sune, 1997. "Numerical Methods for Estimation and Inference in Bayesian VAR-Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(2), pages 99-132, March-Apr.
  13. 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.
  14. 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.
  15. Juan Francisco Rubio-Ramírez & Daniel Waggoner & Tao Zha, 2005. "Markov-switching structural vector autoregressions: theory and application," Working Paper 2005-27, Federal Reserve Bank of Atlanta.
  16. Fabio Canova & Luca Gambetti & Evi Pappa, 2006. "The structural dynamics of output growth and inflation: some international evidence," Economics Working Papers 971, Department of Economics and Business, Universitat Pompeu Fabra, revised Aug 2006.
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  18. Smets, Frank & Wouters, Raf, 2007. "Shocks and frictions in US business cycles: a Bayesian DSGE approach," Working Paper Series 0722, European Central Bank.
  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, 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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Cited by:
  1. 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.
  2. Paciello, Luigi, 2009. "Monetary Policy Activism and Price Responsiveness to Aggregate Shocks under Rational Inattention," MPRA Paper 16407, University Library of Munich, Germany.
  3. 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.
  4. 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.).
  5. Sergey Slobodyan & Raf Wouters, 2009. "Learning in an Estimated Medium-Scale DSGE Model," CERGE-EI Working Papers wp396, The Center for Economic Research and Graduate Education - Economic Institute, Prague.

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