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STATdp9417.pdf
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Abstract
Although conceptually pleasing, normal-gamma frontier models lead to difficult estimation problems. It is shown here that unless the sample size reaches several thousands of observations the shape parameter of the gamma density is hard to estimate, and that this carries over to estimates of the stochastic frontier, the individual ineciencies, and the allocation of the overall variance to the stochastic frontier and to the inefficiencies.
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Citations

Ritter, C., & Simar, L. (1994). Pitfalls of normal-gamma stochastic frontier models (STAT Discussion Papers 9417). https://hdl.handle.net/2078.5/33003