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The purpose of this article is to illustrate a straightforward and useful method for addressing the problem of heteroscedasticity in the estimation of frontiers. A heteroscedastic cost-frontier model is developed and estimated using bank cost data similar to that used by Ferrier and Lovell. Our results show dramatic changes in the estimated cost frontier and in the inefficiency measures when accounting for heteroscedasticity in the estimation process. We find that the rankings of firms by their inefficiency measures is affected markedly by the correction for heteroscedasticity but not by alternative distributional assumptions about the one-sided error term.
Caudill et al. (1995) studied this question.
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