Estimating stochastic frontier systems with unbalanced panel data: The case of floor tile manufactories in egypt
非平衡面板下随机前沿系统的估计:埃及地砖制造业案例
Abstract A generalized stochastic frontier system is fitted with unbalanced panel data of Egyptian floor tileries and estimated using OLS, ‘within’, feasible GLS, and maximum likelihood. Hausman tests indicate ‘within’ is the correct estimator for the data. Estimates of firm‐level technical and allocative inefficiencies (and their costs) are presented for each of the estimators. Finally, sources of technical inefficiency are investigated.