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This paper uses neural networks to assess the relative efficiency of activity units. A new formulation is proposed whereby the neural network fit is obtained by minimising one-sided errors which are attributed to technical inefficiency, effectively modelling a frontier. Efficiency ratings are given to rank activity units on a (0, 100] scale. Experiments on artificial data are employed to test the...