Partial Identification of Heteroskedastic Structural Vector Autoregressions: Theory and Bayesian Inference
We consider structural vector autoregressions that are identified through stochastic volatility. Our analysis focuses on whether a particular structural shock can be identified through heteroskedasticity without imposing any sign or exclusion restrictions.