Advanced Search
MyIDEAS: Login to save this paper or follow this series

The Dynamics of US Inflation: Can Monetary Policy Explain the Changes?

Contents:

Author Info

  • Fabio Canova
  • Filippo Ferroni

Abstract

We investigate the relationship between monetary policy and inflation dynamics in the US using a medium scale structural model. The specification is estimated with Bayesian techniques and fits the data reasonably well. Policy shocks account for a part of the decline in inflation volatility; they have been less effective in triggering inflation responses over time and qualitatively account for the rise and fall in the level of inflation. A number of structural parameter variations contribute to these patterns.

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://research.barcelonagse.eu/tmp/working_papers/471.pdf
Download Restriction: no

Bibliographic Info

Paper provided by Barcelona Graduate School of Economics in its series Working Papers with number 471.

as in new window
Length:
Date of creation: Jun 2010
Date of revision:
Handle: RePEc:bge:wpaper:471

Contact details of provider:
Postal: Ramon Trias Fargas, 25-27, 08005 Barcelona
Phone: +34 93 542-1222
Fax: +34 93 542-1223
Email:
Web page: http://www.barcelonagse.eu
More information through EDIRC

Related research

Keywords: New Keynesian model; Bayesian methods; Monetar ypolicy; Inflation dynamics;

Other versions of this item:

Find related papers by JEL classification:

References

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. Del Negro, Marco & Schorfheide, Frank, 2007. "Forming Priors for DSGE Models (and How It Affects the Assessment of Nominal Rigidities)," CEPR Discussion Papers, C.E.P.R. Discussion Papers 6119, C.E.P.R. Discussion Papers.
  2. Eric M. Leeper & Tao Zha, 1999. "Modest policy interventions," Working Paper, Federal Reserve Bank of Atlanta 99-22, Federal Reserve Bank of Atlanta.
  3. Peter N. Ireland, 2000. "Money's Role in the Monetary Business Cycle," Boston College Working Papers in Economics, Boston College Department of Economics 458, Boston College Department of Economics.
  4. Galí, Jordi & Gambetti, Luca, 2008. "On the Sources of the Great Moderation," CEPR Discussion Papers, C.E.P.R. Discussion Papers 6632, C.E.P.R. Discussion Papers.
  5. Luca Gambetti & Evi Pappa & Fabio Canova, 2008. "The Structural Dynamics of U.S. Output and Inflation: What Explains the Changes?," Journal of Money, Credit and Banking, Blackwell Publishing, Blackwell Publishing, vol. 40(2-3), pages 369-388, 03.
  6. Ben S. Bernanke & Ilian Mihov, 1998. "Measuring Monetary Policy," The Quarterly Journal of Economics, MIT Press, MIT Press, vol. 113(3), pages 869-902, August.
  7. Ireland, Peter N., 2001. "Sticky-price models of the business cycle: Specification and stability," Journal of Monetary Economics, Elsevier, Elsevier, vol. 47(1), pages 3-18, February.
  8. Canova, Fabio & Gambetti, Luca, 2009. "Structural changes in the US economy: Is there a role for monetary policy?," Journal of Economic Dynamics and Control, Elsevier, Elsevier, vol. 33(2), pages 477-490, February.
  9. Richard Clarida & Jordi Galí & Mark Gertler, 2000. "Monetary Policy Rules And Macroeconomic Stability: Evidence And Some Theory," The Quarterly Journal of Economics, MIT Press, MIT Press, vol. 115(1), pages 147-180, February.
  10. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, American Economic Association, vol. 97(3), pages 586-606, June.
  11. Alejandro Justiniano & Giorgio E. Primiceri, 2008. "The Time-Varying Volatility of Macroeconomic Fluctuations," American Economic Review, American Economic Association, American Economic Association, vol. 98(3), pages 604-41, June.
  12. Jesús Fernández-Villaverde & Juan F Rubio-Ramírez, 2007. "How Structural Are Structural Parameters?," Levine's Bibliography 843644000000000057, UCLA Department of Economics.
  13. Fernando Alvarez & Francesco Lippi, 2009. "Financial Innovation and the Transactions Demand for Cash," Econometrica, Econometric Society, Econometric Society, vol. 77(2), pages 363-402, 03.
  14. Margaret M. McConnell & Gabriel Perez Quiros, 1997. "Output fluctuations in the United States: what has changed since the early 1980s?," Research Paper, Federal Reserve Bank of New York 9735, Federal Reserve Bank of New York.
  15. John Geweke, 1999. "Using simulation methods for bayesian econometric models: inference, development,and communication," Econometric Reviews, Taylor & Francis Journals, Taylor & Francis Journals, vol. 18(1), pages 1-73.
  16. Yongsung Chang & Taeyoung Doh & Frank Schorfheide, 2006. "Non-stationary hours in a DSGE model," Working Papers 06-3, Federal Reserve Bank of Philadelphia.
  17. John M. Roberts, 2004. "Monetary policy and inflation dynamics," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.) 2004-62, Board of Governors of the Federal Reserve System (U.S.).
  18. Fabio Canova & Luca Gambetti, 2010. "Do Expectations Matter? The Great Moderation Revisited," American Economic Journal: Macroeconomics, American Economic Association, American Economic Association, vol. 2(3), pages 183-205, July.
  19. Christopher A. Sims & Tao Zha, 2005. "Were There Regime Switches in U.S. Monetary Policy?," Working Papers, Princeton University, Department of Economics, Center for Economic Policy Studies. 92, Princeton University, Department of Economics, Center for Economic Policy Studies..
  20. Jean Boivin & Marc P. Giannoni, 2006. "Has Monetary Policy Become More Effective?," The Review of Economics and Statistics, MIT Press, vol. 88(3), pages 445-462, August.
  21. Marco Del Negro & Frank Schorfheide, 2004. "Priors from General Equilibrium Models for VARS," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(2), pages 643-673, 05.
Full references (including those not matched with items on IDEAS)

Citations

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

Cited by:
  1. Thomai Filippeli & Konstantinos Theodoridis, 2014. "DSGE Priors for BVAR Models," Working Papers, Queen Mary, University of London, School of Economics and Finance 713, Queen Mary, University of London, School of Economics and Finance.
  2. Kemal Bagzibagli, 2012. "Monetary Transmission Mechanism and Time Variation in the Euro Area," Discussion Papers, Department of Economics, University of Birmingham 12-12, Department of Economics, University of Birmingham.
  3. Cantore, C. & Ferroni, F. & León-Ledesma, M A., 2011. "Interpreting the Hours-Technology time-varying relationship," Working papers, Banque de France 351, Banque de France.
  4. Gunnar Bårdsen & Luca Fanelli, 2013. "Frequentist evaluation of small DSGE models," Working Paper Series, Department of Economics, Norwegian University of Science and Technology 14113, Department of Economics, Norwegian University of Science and Technology.
  5. Fabio Canova & Fernando J. Pérez Forero, 2012. "Estimating overidentified, nonrecursive, time-varying coefficients structural VARs," Economics Working Papers, Department of Economics and Business, Universitat Pompeu Fabra 1321, Department of Economics and Business, Universitat Pompeu Fabra.
  6. Steffen Henzel & Elisabeth Wieland, 2013. "Synchronization and Changes in International Inflation Uncertainty," CESifo Working Paper Series 4194, CESifo Group Munich.

Lists

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

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:bge:wpaper:471. 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: (Bruno Guallar).

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.