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Assessing the Transmission of Monetary Policy Shocks Using Dynamic Factor Models

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  • Dimitris Korompilis

    ()
    (Department of Economics, University of Strathclyde)

Abstract

The evolution of monetary policy in the U.S. is examined based on structural dynamic factor models. I extend the current literature which questions the stability of the monetary transmission mechanism, by proposing and studying time-varying parameters factor-augmented vector autoregressions (TVP-FAVAR), which allow for fast and efficient inference based on hundreds of explanatory variables. Different specifcations are compared where the factor loadings, VAR coefficients and error covariances, or combinations of those, may change gradually in every period or be subject to small breaks. The model is applied to 157 post-World War II U.S. quarterly macroeconomic variables. The results clearly suggest that the propagation of the monetary and non-monetary (exogenous) shocks has altered its behavior, and speciffically in a fashion which supports smooth evolution rather than abrupt change. The most notable changes were in the responses of real activity measures, prices and monetary aggregates, while other key indicators of the economy remained relatively unaffected.

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Bibliographic Info

Paper provided by University of Strathclyde Business School, Department of Economics in its series Working Papers with number 0914.

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Length: 41 pages
Date of creation: May 2009
Date of revision:
Handle: RePEc:str:wpaper:0914

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Keywords: Structural FAVAR; time varying parameter model; monetary policy;

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Cited by:
  1. Andrew Stuart Duncan & Alain Kabundi, 2011. "Global Financial Crises and Time-varying Volatility Comovement in World Equity Markets," Working Papers 253, Economic Research Southern Africa.
  2. Koop, Gary & Korobilis, Dimitris, 2010. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," Foundations and Trends(R) in Econometrics, now publishers, vol. 3(4), pages 267-358, July.
  3. Huang, Y-F., 2012. "Forecasting Chinese inflation and output: A Bayesian vector autoregressive approach," MPRA Paper 41933, University Library of Munich, Germany.
  4. Massimiliano Marcellino & Mario Porqueddu & Fabrizio Venditti, 2013. "Short-term GDP forecasting with a mixed frequency dynamic factor model with stochastic volatility," Temi di discussione (Economic working papers) 896, Bank of Italy, Economic Research and International Relations Area.
  5. Eickmeier, Sandra & Lemke, Wolfgang & Marcellino, Massimiliano, 2011. "Classical time-varying FAVAR models - Estimation, forecasting and structural analysis," CEPR Discussion Papers 8321, C.E.P.R. Discussion Papers.
  6. Kemal Bagzibagli, 2012. "Monetary Transmission Mechanism and Time Variation in the Euro Area," Discussion Papers 12-12, Department of Economics, University of Birmingham.
  7. Christiane Baumeister & Philip Liu & Haroon Mumtaz, 2012. "Changes in the Effects of Monetary Policy on Disaggregate Price Dynamics," Working Papers 12-13, Bank of Canada.
  8. Miguel, Belmonte & Gary, Koop, 2013. "Model Switching and Model Averaging in Time- Varying Parameter Regression Models," SIRE Discussion Papers 2013-34, Scottish Institute for Research in Economics (SIRE).
  9. Jouchi Nakajima, 2011. "Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications," IMES Discussion Paper Series 11-E-09, Institute for Monetary and Economic Studies, Bank of Japan.
  10. Korobilis, Dimitris & Gilmartin, Michelle, 2010. "The dynamic effects of U.S. monetary policy on state unemployment," MPRA Paper 27596, University Library of Munich, Germany.
  11. Joshua C.C. Chan & Eric Eisenstat, 2013. "Gibbs Samplers for VARMA and Its Extensions," ANU Working Papers in Economics and Econometrics 2013-604, Australian National University, College of Business and Economics, School of Economics.

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