Munich Personal RePEc Archive

A Comparative Study for Estimation Parameters in Panel Data Model

Youssef, Ahmed H. and Abonazel, Mohamed R. (2009): A Comparative Study for Estimation Parameters in Panel Data Model. Published in: InterStat Journal , Vol. 2009, No. May, No. 2 (9 May 2009): pp. 1-17.

[img]
Preview
PDF
MPRA_paper_49713.pdf

Download (715kB) | Preview

Abstract

This paper examines the panel data models when the regression coefficients are fixed, random, and mixed, and proposed the different estimators for this model. We used the Mote Carlo simulation for making comparisons between the behavior of several estimation methods, such as Random Coefficient Regression (RCR), Classical Pooling (CP), and Mean Group (MG) estimators, in the three cases for regression coefficients. The Monte Carlo simulation results suggest that the RCR estimators perform well in small samples if the coefficients are random. While CP estimators perform well in the case of fixed model only. But the MG estimators perform well if the coefficients are random or fixed.

UB_LMU-Logo
MPRA is a RePEc service hosted by
the Munich University Library in Germany.