Using Some Methods Estimation of Hybrid Model For Unbalanced Panel Data : Simulation Study
Abstract
In this paper, we presented a hybrid coefficients model for unbalanced panel data whose coefficients characterized by being partly fixed coefficient and another is random coefficient. The Swamy estimator (SWE) , the instrumental variable method (IV) and Bayes estimator (BE) were used to estimate the parameters of the hybrid coefficient model represented by the first slope coefficient and the mean of the random slope coefficient . different samples sizes were used in simulation including small , medium and large samples . the simulation results showed that the Swamy estimator(SWE) is better than other methods using root of mean squares error to compare between estimation methods
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