Generalized Impulse Response Analysis: General or Extreme?
This note discusses a pitfall of using the generalized impulse response function (GIRF) in vector autoregressive (VAR) models (Pesaran and Shin, 1998). The GIRF is general because it is invariant to the ordering of the variables in the VAR. The GIRF, in fact, is extreme because it yields a set of response functions that are based on extreme identifying assumptions that contradict each other, unless the covariance matrix is diagonal. With a help of empirical examples, the present note demonstrates that the GIRF may yield quite misleading economic inferences.
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- Pesaran, M. H. & Shin, Y., 1997.
"Generalised Impulse Response Analysis in Linear Multivariate Models,"
Cambridge Working Papers in Economics
9710, Faculty of Economics, University of Cambridge.
- Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
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- Cheung, Yin-Wong & Lai, Kon S. & Bergman, Michael, 2004.
"Dissecting the PPP puzzle: the unconventional roles of nominal exchange rate and price adjustments,"
Journal of International Economics,
Elsevier, vol. 64(1), pages 135-150, October.
- Yin-Wong Cheung & Kon S. Lai & Michael Bergman, 2003. "Dissecting the PPP Puzzle: The Unconventional Roles of Nominal Exchange Rate and Price Adjustment," CESifo Working Paper Series 924, CESifo Group Munich.
- Yin-wong Cheung & Kon S. Lai & Michael Bergman, 2003. "Dissecting the PPP Puzzle: The Unconventional Roles of Nominal Exchange Rate and Price Adjustments," Working Papers 102003, Hong Kong Institute for Monetary Research.
- Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
- 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.
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