Testing Restrictions in Nonparametric Efficiency Models
Year: 2001
Type: article
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.
Authors: Léopold Simar, Paul W. Wilson
Institutions: UCLouvain, The University of Texas at Austin
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2118728790