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Measuring The Dynamic Effects Of Monetary Policy Shocks: A Bayesian Favar Approach With Sign Restriction

  • Harald Uhlig

    (University of Chicago)

  • Pooyan Amir Ahmadi

    (Goethe University)

We estimate the effects of monetary policy shocks in a Bayesian factor-augmented vector autoregression (BFAVAR). We propose a novel identication strategy of imposing sign restrictions directly on the impulse responses of large sets of variables. The novel feature and key strength of our approach is the additional "bite" due to the differences in factor loadings across sets of time series representing, say, "prices" or "output". Furthermore, our procedure does not require a structural interpretation of the factors themselves or adding observables to the list of factors. We impose the conventional wisdom regarding the responses of prices, monetary aggregates, spreads and interest rates. Our results are robust across different subsamples and avoid anomalies arising in Cholesky identications.

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File URL: https://www.economicdynamics.org/meetpapers/2012/paper_1060.pdf
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Paper provided by Society for Economic Dynamics in its series 2012 Meeting Papers with number 1060.

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Date of creation: 2012
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Handle: RePEc:red:sed012:1060
Contact details of provider: Postal: Society for Economic Dynamics Christian Zimmermann Economic Research Federal Reserve Bank of St. Louis PO Box 442 St. Louis MO 63166-0442 USA
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Web page: http://www.EconomicDynamics.org/society.htm
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  1. Uhlig, Harald, 1994. "What Macroeconomists Should Know about Unit Roots: A Bayesian Perspective," Econometric Theory, Cambridge University Press, vol. 10(3-4), pages 645-671, August.
  2. Christopher A. Sims & Tao Zha, 1999. "Error Bands for Impulse Responses," Econometrica, Econometric Society, vol. 67(5), pages 1113-1156, September.
  3. 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.
  4. Sims, Christopher A & Zha, Tao, 1998. "Bayesian Methods for Dynamic Multivariate Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 949-68, November.
  5. Sims, Christopher A & Uhlig, Harald, 1991. "Understanding Unit Rooters: A Helicopter Tour," Econometrica, Econometric Society, vol. 59(6), pages 1591-99, November.
  6. Ben S. Bernanke & Jean Boivin, 2001. "Monetary Policy in a Data-Rich Environment," NBER Working Papers 8379, National Bureau of Economic Research, Inc.
  7. Gordon, David B & Leeper, Eric M, 1994. "The Dynamic Impacts of Monetary Policy: An Exercise in Tentative Identification," Journal of Political Economy, University of Chicago Press, vol. 102(6), pages 1228-47, December.
  8. 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.
  9. Sims, Christopher A., 1992. "Interpreting the macroeconomic time series facts : The effects of monetary policy," European Economic Review, Elsevier, vol. 36(5), pages 975-1000, June.
  10. Haroon Mumtaz & Paolo Surico, 2009. "The Transmission of International Shocks: A Factor-Augmented VAR Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(s1), pages 71-100, 02.
  11. Pooyan Amir Ahmadi & Albrecht Ritschl, 2009. "Depression econometrics: a FAVAR model of monetary policy during the Great Depression," Economic History Working Papers 27878, London School of Economics and Political Science, Department of Economic History.
  12. Eric M. Leeper & Christopher A. Sims & Tao Zha, 1996. "What Does Monetary Policy Do?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 27(2), pages 1-78.
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