NonLinier Estimation using OLS and Max Likelihood

Paper will report the results experiment model nonlinear to estimate production function Cobb-Douglas and CES using the Least Square method Nonlinear and Non-Linier Maximum Likelihood. Model estimation method linier used non-conventional approach Algorithm Gause-Newton; Rhapson-Newton, Levenberg-Marquardt; Berndt, Hall, Hall & Hausman or the quadratic Hill-Climbing. In this paper will describe the approach. Monte Carlo simulation is used to guarantee the results Robusness estimates. Computing used MATLAB.

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