Journal of Time Series Analysis

Large sample properties of parameter least squares estimates for time‐varying arma models

Journal Article

Abstract.  This paper considers estimation of ARMA models with time‐varying coefficients. The ARMA parameters belong to d different regimes. The changes in regime occur at irregular time intervals. Consistency and asymptotic normality of least squares and quasi‐generalized least squares estimators are shown.

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