International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Open Access | Double Blind Reviewed

ISSN: 2319-7064


Downloads: 139 | Views: 139

Research Paper | Statistics | Kenya | Volume 3 Issue 5, May 2014


Deriving Some Estimators of Panel Data Regression Models with Individual Effects

Megersa Tadesse Jirata | J. Cheruyot Chelule | R. O. Odhiambo


Abstract: The panel data models are becoming more common in relation to cross-section and time series models for innumerable present advantages; in addition to the computational advance that facilitated theirs utilization. The existing literature has focused on the application of the estimators. Many of panel data model estimators are severely inconsistent due to presence of endogeneity and heterogeneity problem. Hence; panel data offers various opportunities to derive estimators of that result consistent estimators. This paper considers estimation of linear panel data models with fixed effects and random effects when the equation of interest contains unobserved heterogeneity as well as endogenous explanatory variables. We offer a detailed analysis and derivation of the two-stage least squares (2SLS) and generalized least square (GLS) estimators in the context of panel data models.


Keywords: Panel data, Fixed effects, Random effects, Two-stage least square and Generalized Least Square


Edition: Volume 3 Issue 5, May 2014,


Pages: 53 - 59


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How to Cite this Article?

Megersa Tadesse Jirata, J. Cheruyot Chelule, R. O. Odhiambo, "Deriving Some Estimators of Panel Data Regression Models with Individual Effects", International Journal of Science and Research (IJSR), Volume 3 Issue 5, May 2014, pp. 53-59, https://www.ijsr.net/get_abstract.php?paper_id=20131722

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