Estimation of a system of linear dynamic asset demand equations: Computational considerations

The error covariance matrix of a system of linear dynamic asset demand equations is of less than full rank. This property requires that system be modified before estimation. We show that a knowledge of the structure of the asset equations can be the basis for a favourable reduction in the size of the problems of estimation and inference. It is possible to obtain computational savings while retaining all the properties of the original system.