Mohamed R. Abonazel
Associate Professor of Applied Statistics and Econometrics at Cairo University
5 Dr. Ahmed Zewail Street, Postal Code: 12613, Orman, Giza, Egypt (email)
New GMM Estimators for Dynamic Panel Data Models
- Citation:
- Youssef, A. H., A. A. El-sheikh, and M. R. Abonazel, "New GMM Estimators for Dynamic Panel Data Models", International Journal of Innovative Research in Science, Engineering and Technology, vol. 3, issue 10, pp. 16414-16425, 2014.
Abstract:
In dynamic panel data (DPD) models, the generalized method of moments (GMM) estimation gives efficient estimators. However, this efficiency is affected by the choice of the initial weighting matrix. In practice, the inverse of the moment matrix of the instruments has been used as an initial weighting matrix which led to a loss of efficiency. Therefore, we will present new GMM estimators based on optimal or suboptimal weighting matrices in GMM estimation. Monte Carlo study indicates that the potential efficiency gain by using these matrices. Moreover, the bias and efficiency of the new GMM estimators are more reliable than any other conventional GMM estimators.