Savi Virolainen

A fully nonlinear structural vector autoregressive model identified via independent innovation analysis

We develop a fully nonlinear structural vector autoregressive framework in which the contemporaneous structural mapping may be nonlinear and non-additive. Identification is achieved by exploiting variation in the conditional distributions of the mutually independent structural shocks induced by an observed exogenous va...