Abstract
In this paper we consider the asymptotic proper ties of least squares estimators of the parameters of linear and nonlinear ARMAX models under data heterogeneity, where we allow the X-variables to be stochastic time series themselves, pos sibly depending on lagged dependent variables. These results are obtained by a further elaboration of the results in BIERENS (1984, 1 987).
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