Statistical inference for aggregates of Farrell-type efficiencies

In this study, we merge results of two recent directions in efficiency analysis research—the Aggregation and the Bootstrap—applied, as an example, to one of the most popular point-estimators of individual efficiency: the Data Envelopment Analysis (DEA) estimator. A natural context of the methodology developed here is a study of efficiency of a particular economic system (e.g., an industry) as a whole, or a comparison of efficiencies of distinct groups within such a system (e.g., private vs. public or regulated vs. non-regulated firms, etc). Our methodology is justified by the (neo-classical) economic theory and is supported by carefully a dapted statistical methods.

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Document type	Document de travail (Working Paper)
Access type	Accès libre
Publication date	2003
Language	Anglais
Number of pages	27 pages
Collection	STAT Discussion Papers - 0324
Affiliations	UCL - EUEN/STAT - Institut de statistique National University "Kyiv-Mohyla Academy" - EERC
Links	http://sites.uclouvain.be/IAP-Stat-Phase-V-VI/ISBApub/ISBAdp.html#2003 http://hdl.handle.net/2078.1/123051[Handle]

See also
	[boreal:66184]	Statistical inference for aggregates of Farrell-type efficiencies