Hyeongwoo, Kim (2009): Generalized Impulse Response Analysis: General or Extreme?
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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 an empirical example, the present note demonstrates that the GIRF may yield quite misleading economic inferences.
|Item Type:||MPRA Paper|
|Original Title:||Generalized Impulse Response Analysis: General or Extreme?|
|Keywords:||Generalized Impulse Response Function; Orthogonalized Impulse Response Function; Vector Autoregressive Models|
|Subjects:||C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models; Multiple Variables > C32 - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C13 - Estimation: General
C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C51 - Model Construction and Estimation
|Depositing User:||Dr. Hyeongwoo Kim|
|Date Deposited:||31. Aug 2009 14:32|
|Last Modified:||12. Feb 2013 04:04|
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