This paper analyzes Structural Vector Autoregressions (SVARs) where identification of structural parameters holds … analysis accordingly. For Bayesians, the lack of global identification translates to nonvanishing sensitivity of the posterior …. We characterize a class of identifying restrictions that deliver local but non-global identification, and the resulting …

This paper analyzes Structural Vector Autoregressions (SVARs) where identification of structural parameters holds … analysis accordingly. For Bayesians, the lack of global identification translates to non-vanishing sensitivity of the posterior …. We characterize a class of identifying restrictions that deliver local but non-global identification, and the resulting …

This paper analyzes Structural Vector Autoregressions (SVARs) where identification of structural parameters holds … analysis accordingly. For Bayesians, the lack of global identification translates to non-vanishing sensitivity of the posterior …. We characterize a class of identifying restrictions that deliver local but non-global identification, and the resulting …

This paper analyzes Structural Vector Autoregressions (SVARs) where identification of structural parameters holds … analysis accordingly. For Bayesians, the lack of global identification translates to nonvanishing sensitivity of the posterior …. We characterize a class of identifying restrictions that deliver local but non-global identification, and the resulting …

variables which do not add much information to the inference. The contribution includes a new way of identification which is …