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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Type de document	Document de travail (Working Paper)
Type d'accès	Accès libre
Année de publication	2000
Langue	Anglais
Nombre de pages	33 pages
Collection	STAT Discussion Papers - 0013
Affiliations	UCL - EUEN/STAT - Institut de statistique University of Texas - Department of economics
Liens	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