Logo
Munich Personal RePEc Archive

Alternative GMM Estimators for First-order Autoregressive Panel Model: An Improving Efficiency Approach

Youssef, Ahmed and Abonazel, Mohamed R. (2015): Alternative GMM Estimators for First-order Autoregressive Panel Model: An Improving Efficiency Approach. Forthcoming in: Communications in Statistics - Simulation and Computation

[thumbnail of MPRA_paper_68674.pdf]
Preview
PDF
MPRA_paper_68674.pdf

Download (931kB) | Preview

Abstract

This paper considers first-order autoregressive panel model which is a simple model for dynamic panel data (DPD) models. The generalized method of moments (GMM) gives efficient estimators for these models. This efficiency is affected by the choice of the weighting matrix which has been used in GMM estimation. The non-optimal weighting matrices have been used in the conventional GMM estimators. This led to a loss of efficiency. Therefore, we present new GMM estimators based on optimal or suboptimal weighting matrices. Monte Carlo study indicates that the bias and efficiency of the new estimators are more reliable than the conventional estimators.

Atom RSS 1.0 RSS 2.0

Contact us: mpra@ub.uni-muenchen.de

This repository has been built using EPrints software.

MPRA is a RePEc service hosted by Logo of the University Library LMU Munich.