Application of Smooth Transition Autoregressive (STAR) Models for the Real Exchange Rate in Algeria
Kamel Si MOHAMMED, Meryem MOUSLIM-DIB, Djamel ZEDDOUN, Abdelkrim BENAMEUR
Abstract
The purpose of this paper is model non-linearity in the real exchange rates upon monthly data for the period
M1:1994 till M4: 2015 an application of logistic Smooth transition autoregressive (LSTAR) and exponential
Smooth transition autoregressive (ESTAR) modeling to reel exchange rate in Algeria. Tests result reject linearity
null hypothesis in favor nonlinearity alternative hypothesis. Our empirical analysis helps explain how the
Algerian policy-makers will wish to take into consideration the nonlinear predictions as a forecasting method.
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