1996
DOI: 10.1016/0165-1889(96)00914-1
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Structural information in recursive VAR orderings

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Cited by 51 publications
(46 citation statements)
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“…Equation (12) postulates that each parameter may be affected by the standard error shock of the current term and the lagged terms. While either orthogonalizing the disturbance or preventing the elements of from correlation, Cholesky decomposition takes the squared root of a positive-definite matrix.…”
Section: Impulse Response Functionmentioning
confidence: 99%
See 1 more Smart Citation
“…Equation (12) postulates that each parameter may be affected by the standard error shock of the current term and the lagged terms. While either orthogonalizing the disturbance or preventing the elements of from correlation, Cholesky decomposition takes the squared root of a positive-definite matrix.…”
Section: Impulse Response Functionmentioning
confidence: 99%
“…According to Keating (1996), Cholesky decompositions can identify the set of a partially recursive structural model. Equation (11) can be transformed through the Wold decomposition Theorem to vector moving average representation (MAR) form as follows:…”
Section: Impulse Response Functionmentioning
confidence: 99%
“…One can also show that two-block versions of the long-run partially recursive structure are necessary for the initial block or the final block of shocks from a long-run recursive ordering to yield structural responses. These results follow from a simple extension of necessary conditions 19 from Section 5 of Keating (1996): Assume the variables are integrated and replace the short-run structural parameter matrix and the short-run identification restrictions with the long-run partially recursive structural parameter matrix and the long-run recursive identification restrictions, respectively.…”
Section: Concluding Commentsmentioning
confidence: 99%
“…economies in turn provide a natural relative ordering of the two sub-systems that I exploit for structural identification (see Keating, 1996, on block-recursive identification assumptions).…”
Section: Long-run Identificationmentioning
confidence: 99%