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 …

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 …

heteroskedasticity is occasionally allowed for, it is typically taken for granted that the impact effects of the structural shocks are …

: identification strategies based on heteroskedasticity and strategkes based on non-Gaussianity more generally. I outline the seminal …Identification based on higher moments has drawn increasing theoretical attention and been widely adopted in empirical … identification results and discuss recent extensions, parametric and non-parametric implementations, and prominent empirical …