IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

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

Author Info

  • LUIGI PACIELLO

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.

(This abstract was borrowed from another version of this item.)

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://hdl.handle.net/10.1111/j.1538-4616.2011.00462.x
Download Restriction: Access to full text is restricted to subscribers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Blackwell Publishing in its journal Journal of Money, Credit and Banking.

Volume (Year): 43 (2011)
Issue (Month): 8 (December)
Pages: 1663-1684

as
in new window

Handle: RePEc:mcb:jmoncb:v:43:y:2011:i:8:p:1663-1684
Contact details of provider: Web page: http://www.blackwellpublishing.com/journal.asp?ref=0022-2879

Keywords:

Other versions of this item:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Daniel F. Waggoner & Tao Zha, 2000. "Likelihood-preserving normalization in multiple equation models," Working Paper 2000-8, Federal Reserve Bank of Atlanta.
  2. 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.
  3. David Altig & Lawrence J. Christiano & Martin Eichenbaum & Jesper Linde, 2004. "Firm-specific capital, nominal rigidities and the business cycle," Working Paper Series WP-05-01, Federal Reserve Bank of Chicago.
  4. Martha Banbura & Domenico Giannone & Lucrezia Reichlin, 2008. "Large Bayesian VARs," Working Papers ECARES 2008_033, ULB -- Universite Libre de Bruxelles.
  5. Christopher J. Erceg & Luca Guerrieri, 2004. "Can Long-Run Restrictions Identify Technology Shocks?," Computing in Economics and Finance 2004 3, Society for Computational Economics.
  6. 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.
  7. 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.
  8. Kadiyala, K. Rao & Karlsson, Sune, 1994. "Numerical Aspects of Bayesian VAR-modeling," SSE/EFI Working Paper Series in Economics and Finance 12, Stockholm School of Economics.
  9. 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.
  10. Smets, Frank & Wouters, Raf, 2007. "Shocks and frictions in US business cycles: a Bayesian DSGE approach," Working Paper Series 0722, European Central Bank.
  11. Mackowiak, Bartosz Adam & Wiederholt, Mirko, 2010. "Business Cycle Dynamics under Rational Inattention," CEPR Discussion Papers 7691, C.E.P.R. Discussion Papers.
  12. 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.).
  13. Thomas Doan & Robert B. Litterman & Christopher A. Sims, 1986. "Forecasting and conditional projection using realistic prior distribution," Staff Report 93, Federal Reserve Bank of Minneapolis.
  14. 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.
  15. Dedola, Luca & Neri, Stefano, 2004. "What Does A Technology Shock Do? A VAR Analysis with Model-based Sign Restrictions," CEPR Discussion Papers 4537, C.E.P.R. Discussion Papers.
  16. 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.
  17. David Altig & Lawrence Christiano & Martin Eichenbaum & Jesper Linde, 2005. "Online Appendix to "Firm-Specific Capital, Nominal Rigidities and the Business Cycle"," Technical Appendices 09-191, Review of Economic Dynamics.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
Full references (including those not matched with items on IDEAS)

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

as in new window


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?," Discussion papers e-10-007, Graduate School of Economics Project Center, Kyoto University.
  2. 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.
  3. Martha Banbura & Domenico Giannone & Michèle Lenza, 2014. "Conditional Forecasts and Scenario Analysis with Vector Autoregressions for Large Cross-Sections," Working Papers ECARES ECARES 2014-15, ULB -- Universite Libre de Bruxelles.
  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. Christiano, Lawrence & Trabandt, Mathias & Walentin, Karl, 2010. "Involuntary unemployment and the business cycle," Working Paper Series 1202, European Central Bank.
  6. Paciello, Luigi, 2009. "Monetary Policy Activism and Price Responsiveness to Aggregate Shocks under Rational Inattention," MPRA Paper 16407, University Library of Munich, Germany.

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Access and download statistics

When requesting a correction, please mention this item's handle: RePEc:mcb:jmoncb:v:43:y:2011:i:8:p:1663-1684. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing)

or (Christopher F. Baum)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.