Suggests a new approach to the estimation of frontier production functions. This involves the specification of the error term as being made up of two components, one normal and the other from a one-sided distribution. Previous approaches to the estimation of parametric frontier production functions are reviewed, then the new approach is explained, supported by some Monte Carlo experiments and empirical examples.
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