Common trends and cycles in I(2) VAR systems

This paper discusses common cycles in I(2) vector autoregressive (VAR) systems. Both static and dynamic cofeatures are considered. We consider application of these notions to different choices of stationary variables extracted from a VAR, including deviations from equilibria. This extension is based on the equilibrium dynamics representation of the system, which is introduced in this paper. Inference on the number of common features is addressed via reduced rank regression, as well as estimation of the cofeature relations and testing. An application to Australian prices illustrates the techniques presented in the paper. In the empirical application it is found that the deviation from one of the equilibria is an innovation process, whereas only trivial cases of cofeatures can be obtained for the equilibrium correction form.