This paper proposes a class of parametric multiple-index time series models that involve linear combinations trends, stationary variables and unit root processes as regressors. The inclusion the three different types series, along with use structure for these to circumvent curse dimensionality, is due both theoretical practical considerations. M-type estimators (including OLS, LAD, Huber’s esti...