Estimating stochastic frontier systems with unbalanced panel data: The case of floor tile manufactories in egypt
用非平衡面板数据拟合广义随机前沿系统，比较OLS、组内、可行GLS和最大似然估计，通过Hausman检验确定组内估计最优，并计算企业技术效率和配置效率及其成本，最后分析技术效率的来源。
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.