A comparison of some semi-parametric Estimators For Partial Linear Regression Model by using simulation

Abstract

the purpose of this paper is to compare between some of methods of semiparametric model by using simulation to estimate the best model for simulation data . the method which is used to estimate the parametric part is (OLS) while Nonparametric part was estimated by using local polynomial smoother and Cubic smoothing Spline .The simulation results shows that the semi-parametric model estimated by using the Cubic smoothing spline is the best one .