Genetic algorithm (GA) is a method based on the principle of evolution theory. It is widely used in stochastic optimization applications. In recent years, genetic algorithms have frequently been used in economics. The purpose of this study is to show that GA is not only used in solving optimization problems but also used as an alternative method in parameter estimation in solving nonlinear econometric models. By using a nonlinear trend model of the Turkish Statistical Institute’s monthly CPI data for the period 1990.01 and 2000.10, we first estimated the parameter of an econometric model which is not linear in its parameters, and then we used GA method for parameter estimation of the same model. The results obtained from two methods are compared
Alan : Ziraat, Orman ve Su Ürünleri; Spor Bilimleri
Dergi Türü : Uluslararası
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