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A GENETIC ALGORITHM APPROACH TO PARAMETER ESTIMATION IN NONLINEAR ECONOMETRIC MODELS
2008
Journal:  
Dumlupınar Üniversitesi Sosyal Bilimler Dergisi
Author:  
Abstract:

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

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Dumlupınar Üniversitesi Sosyal Bilimler Dergisi

Field :   Ziraat, Orman ve Su Ürünleri; Spor Bilimleri

Journal Type :   Uluslararası

Metrics
Article : 1.665
Cite : 9.497
2023 Impact : 0.274
Details
Dumlupınar Üniversitesi Sosyal Bilimler Dergisi