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The Systematic Component of Monetary Policy in SVARs: An Agnostic Identification Procedure

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This paper studies the effects of monetary policy shocks using structural vector autoregressions (SVARs). We achieve identification by imposing sign and zero restrictions on the systematic component of monetary policy. We consistently find that an increase in the fed funds rate induces a contraction in output. We also show that the identification strategy in Uhlig (2005), which imposes sign restrictions on the impulse responses to a monetary shock, does not satisfy our restrictions on the systematic component of monetary policy with high posterior probability. This finding accounts for the difference in results with Uhlig (2005), who found that contractionary monetary policy shocks have no clear effect on output. When we reconcile the two approaches by combining both sets of restrictions, monetary policy shocks remain contractionary.

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File URL: https://www.frbatlanta.org/-/media/documents/research/publications/wp/2016/15-the-systematic-component-of-monetary-policy-in-SVARs-2016-12-13.pdf
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Paper provided by Federal Reserve Bank of Atlanta in its series FRB Atlanta Working Paper with number 2016-15.

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Length: 36 pages
Date of creation: 01 Dec 2016
Handle: RePEc:fip:fedawp:2016-15
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  1. Uhlig, Harald, 2005. "What are the effects of monetary policy on output? Results from an agnostic identification procedure," Journal of Monetary Economics, Elsevier, vol. 52(2), pages 381-419, March.
  2. Waggoner, Daniel F. & Zha, Tao, 2003. "Likelihood preserving normalization in multiple equation models," Journal of Econometrics, Elsevier, vol. 114(2), pages 329-347, June.
  3. Christiano, Lawrence J & Eichenbaum, Martin & Evans, Charles, 1996. "The Effects of Monetary Policy Shocks: Evidence from the Flow of Funds," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 16-34, February.
  4. Jonas E. Arias & Juan Rubio-Ramirez & Daniel F. Waggoner, 2013. "Inference Based on SVARs Identied with Sign and Zero Restrictions: Theory and Applications," Working Papers 2013-24, FEDEA.
  5. G. Peersman & W. Wagner, 2014. "Shocks to Bank Lending, Risk-Taking, Securitization, and their Role for U.S. Business Cycle Fluctuations," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 14/874, Ghent University, Faculty of Economics and Business Administration.
  6. Juan F. Rubio-Ramírez & 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. Julio Rotemberg & Michael Woodford, 1997. "An Optimization-Based Econometric Framework for the Evaluation of Monetary Policy," NBER Chapters,in: NBER Macroeconomics Annual 1997, Volume 12, pages 297-361 National Bureau of Economic Research, Inc.
  8. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
  9. Michael T. Belongia & Peter N. Ireland, 2015. "Interest Rates and Money in the Measurement of Monetary Policy," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(2), pages 255-269, April.
  10. repec:oup:restud:v:84:y:2017:i:3:p:1015-1040. is not listed on IDEAS
  11. Dario Caldara & Christophe Kamps, 2017. "The Analytics of SVARs: A Unified Framework to Measure Fiscal Multipliers," Review of Economic Studies, Oxford University Press, vol. 84(3), pages 1015-1040.
  12. Andrew Binning, 2013. "Underidentified SVAR models: A framework for combining short and long-run restrictions with sign-restrictions," Working Paper 2013/14, Norges Bank.
  13. Henry W. Chappell, Jr. & Rob Roy McGregor & Todd A. Vermilyea, 2005. "Committee Decisions on Monetary Policy: Evidence from Historical Records of the Federal Open Market Committee," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262033305, July.
  14. Paul Beaudry & Deokwoo Nam & Jian Wang, 2011. "Do Mood Swings Drive Business Cycles and is it Rational?," NBER Working Papers 17651, National Bureau of Economic Research, Inc.
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