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Regime-dependent impulse response functions in a Markov-switching vector autoregression model

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  • Ehrmann, Michael
  • Ellison, Martin
  • Valla, Natacha

Abstract

In this paper we introduce identifying restrictions into a Markov-switching vector autoregression model.We define a separate set of impulse responses for each Markov regime to show how fundamental disturbances affect the variables in the model dependent on the regime.We go to illustrate the use of these regime-dependent impulse response functions in a model of the U.S. economy.The regimes we identify come close to the "old" and "new economy" regimes found in recent research.We provide evidence that oil price shocks are much less contractionary and inflationary than they used to be.We show furthermore that the decoupling of the US economic performance from oil price shocks cannot be explained by "good luck" alone, but that structural changes within the US economy have taken place. Keywords: vector autoregression, regime switching, shocks, new economy

Suggested Citation

  • Ehrmann, Michael & Ellison, Martin & Valla, Natacha, 2001. "Regime-dependent impulse response functions in a Markov-switching vector autoregression model," Research Discussion Papers 11/2001, Bank of Finland.
  • Handle: RePEc:bof:bofrdp:2001_011
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    1. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-673, September.
    2. Michael Ehrmann, 2004. "Firm Size and Monetary Policy Transmission – Evidence from German Business Survey Data," CESifo Working Paper Series 1201, CESifo Group Munich.
    3. Ellison, Martin & Valla, Natacha, 2001. "Learning, uncertainty and central bank activism in an economy with strategic interactions," Journal of Monetary Economics, Elsevier, vol. 48(1), pages 153-171, August.
    4. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    5. Krolzig, H.-M. & Toro, J., 1999. "A New Approach to the Analysis of Shocks and the Cycle in a Model of Output and Employment," Economics Working Papers eco99/30, European University Institute.
    6. Ehrmann, M., 2000. "Firm Size and Monetary Policy Transmission - Evidence from German Business Survey Data," Economics Working Papers eco2000/12, European University Institute.
    7. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    8. King, Robert G. & Plosser, Charles I. & Stock, James H. & Watson, Mark W., 1991. "Stochastic Trends and Economic Fluctuations," American Economic Review, American Economic Association, vol. 81(4), pages 819-840, September.
    9. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    10. Christopher A. Sims & Tao Zha, 2002. "Macroeconomic switching," Proceedings, Federal Reserve Bank of San Francisco, issue mar.
    11. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
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