A Comparison of Some Semiparametric Estimators for Consumption Function Regression

Authors

• Munaf Yousif Hmood, Department of Statistics, College of Administration and Economics, University of Baghdad, Iraq
• Aseel Muslim Issa, Department of Statistics, College of Administration and Economics, University of Baghdad, Iraq

Abstract

This article aims to explore the importance of estimating the a semiparametric regression function ,where we suggest a new estimator beside the other combined estimators and then we make a comparison among them by using simulation technique . Through the simulation results we find that the suggest estimator is the best with the first and second models ,wherealse for the third model we find Burman and Chaudhuri (B&C) is best.

DOI

10.33095/jeas.v18i67.1049

Subject Area

Statistical

First Page

273

Last Page

288

Recommended Citation

Hmood, M. Y., & Issa, A. M. (2012). A Comparison of Some Semiparametric Estimators for Consumption Function Regression. Journal of Economics and Administrative Sciences, 18(67), 273-288. https://doi.org/10.33095/jeas.v18i67.1049