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A generalized least squares estimation method for VARMA models
Authors:Rafael Flores De Frutos  Gregorio Serrano
Institution:Departamento de Economía Cuantitativa. Facultad de Ciencias Económicas y Empresariales , Universidad Complutense de Madrid , Campus de Somosaguas, Madrid, 28223
Abstract:In this paper a new generalized least squares procedure for estimating VARMA models is proposed. This method differs from existing ones in explicitly considering the stochastic structure of the approximation error that arises when lagged innovations are replaced with lagged residuals obtained from a long VAR. Simulation results indicate that this method performs better than the Double Regression method and similar to Mauricio's (1995) exact maximum likelihood estimation procedure.
Keywords:Varma Models Estimation  Generalized Least Squares  Model Specification
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