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We propose a blended approach which combines identification via heteroskedasticity with the widely used methods of sign … external instruments can prove necessary when the conditions for point identification through heteroskedasticity are not met … restrictions, narrative restrictions, and external instruments.Since heteroskedasticity in the reduced form can be exploited to …
Persistent link: https://www.econbiz.de/10014356078
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process. I propose a new identification argument that identifies the SVAR up to shock orderings using the autocovariance …An n-variable structural vector auto-regression (SVAR) can be identified (up to shock order) from the evolution of the … select among shock orderings; this selection does not impact inference asymptotically. The identification scheme performs …
Persistent link: https://www.econbiz.de/10011926201
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used conventional identification schemes in this context are rejected by the data if heteroskedasticity is allowed for …In structural vector autoregressive analysis identifying the shocks of interest via heteroskedasticity has become a … standard tool. Unfortunately, the approaches currently used for modelling heteroskedasticity all have drawbacks. For instance …
Persistent link: https://www.econbiz.de/10010361372
used conventional identification schemes in this context are rejected by the data if heteroskedasticity is allowed for …In structural vector autoregressive analysis identifying the shocks of interest via heteroskedasticity has become a … standard tool. Unfortunately, the approaches currently used for modelling heteroskedasticity all have drawbacks. For instance …
Persistent link: https://www.econbiz.de/10010364697
Persistent link: https://www.econbiz.de/10011553496
We propose a test for time-varying impulse responses in heteroskedastic structural vector autoregressions that can be used when the shocks are identified by external proxy variables as a group. The test can be used even if the shocks are not identified individually. The asymptotic analysis is...
Persistent link: https://www.econbiz.de/10013198929
We investigate the identification problem in the setting of heteroskedastic structural vector autoregressions (SVARs …, which may take any form. The case of partial identification is also considered. If, out of the total of <I>K</I> structural … innovations, there are 0 < <I>k</I> < <I>K</I> - 1 shocks which exhibit linearly independent heteroskedasticity while the …
Persistent link: https://www.econbiz.de/10013048840
structural VAR analysis. Testable conditions are given for full identification for the case where the volatility changes can be … modelled by a multivariate GARCH process. Formal statistical tests are presented for identification and their small sample … properties are investigated via a Monte Carlo study. The tests are applied to investigate the validity of the identification …
Persistent link: https://www.econbiz.de/10010488275