Background The algorithm described by Rubio-Ramírez, Waggoner and Zha (2010) remain one of the most widely used tools of decomposing the reduced form errors of a vector autoregression (VAR) into economically meaningful shocks. The algorithm draws random orthogonal matrices which are then multiplied with a continuous function (usually Cholesky decomposition) of the reduced form covariance…