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TOPIC:
SELF-WEIGHTED LS ESTIMATION FOR NONLINEAR COINTEGRATING REGRESSION
ABSTRACT
This paper establishes a new framework on self-weighted least squares estimation that is easy to apply for various nonlinear regression models with heteroscedasticity. This paper explores the applications of this framework to various nonlinear cointegrating regression models.