Bayesian Forecasting using Stochastic Search Variable Selection in a VAR Subject to Breaks

Abstract

This paper builds a model which has two extensions over a standard VAR. The first of these is stochastic search variable selection, which is an automatic model selection device that allows coefficients in a possibly over-parameterized VAR to be set to ze