Comparative analysis of estimation methods for CES production function

This article describes the analysis of the stationary and dynamic case of the Kmenta method for estimating the CES production function. The data series which occur in the analysed models, are given by the real gross value added, regarded as output variable, and the tangible assets, respectively the average number of employees, regarded as input variables. The parameters of the models, are determined using the least squares method (LSM), using the software package Eviews.