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Statistica Sinica 1(1991), 361-369


STRONG CONSISTENCY OF THE LEAST SQUARES

ESTIMATOR FOR A NON-ERGODIC THRESHOLD

AUTOREGRESSIVE MODEL


Dinh Tuan Pham, K. S. Chan and Howell Tong


Laboratory of Modelling and Computation, Grenoble, France,
University of Chicago and University of Kent


Abstract: We have shown that the least squares estimator for a non-ergodic, first order, self-exciting, threshold autoregressive model is strongly consistent under quite general conditions.



Key words and phrases: Least squares estimator, martingale, nonlinear unit root, stationarity, strong consistency, threshold autoregressive model.



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