TESTING RESTRICTIONS IN NONPARAMETRIC EFFICIENCY MODELS

Abstract

This paper discusses statistical procedures for testing various restrictions in the context of nonparametric models of technical efficiency. In particular, tests for whether inputs or outputs are irrelevant, as well as tests of whether inputs or outputs may be aggregated are formulated. Bootstrap estimation procedures which yield appropriate critical values for the test statistics are also provided. Evidence on the true sizes and power of the proposed tests is obtained from Monte Carlo experiments.