Identification in structural VAR models with different volatility regimes

In this paper we study the identification conditions in structural VAR models with different regimes of volatility. We propose a new specification that allows to address identification in the conventional likelihood-based setup. We propose a formal general framework for identification and prove that exact-identification assumptions in the standard SVAR literature appear here to be over-identified, and thus subject to statistical inference