Testing restrictions in nonparametric efficiency models

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.

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Document type	Document de travail (Working Paper)
Access type	Accès libre
Publication date	2000
Language	Anglais
Number of pages	33 pages
Collection	STAT Discussion Papers - 0013
Affiliations	UCL - EUEN/STAT - Institut de statistique University of Texas - Department of economics
Links	http://sites.uclouvain.be/IAP-Stat-Phase-V-VI/ISBApub/ISBAdp.html#2000 http://hdl.handle.net/2078.1/121484[Handle]

See also
	[boreal:43033]	Testing restrictions in nonparametric efficiency models