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Statistical inference for aggregates of Farrell-type efficiencies

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Simar, Léopold [UCL] Zelenyuk, Valentin [UCL]

In this study, we merge results of two recent directions in efficiency analysis research-aggregation and 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., regulated vs. non-regulated firms or private vs. public firms). Our methodology is justified by the (neoclassical) economic theory and is supported by carefully adapted statistical methods. Copyright 2007 John Wiley & Sons, Ltd.

Type de document Article de périodique (Journal article) – Article de recherche
Type d'accès Accès restreint
Année de publication 2007
Information sur le périodique "Journal of Applied Econometrics" - Vol. 22, no. 7, p. 73-100 (2007)
Peer reviewed oui
Editeur John wiley & sons ltd.
issn 0883-7252
Statut de la publication Publié
Affiliations UCL - EUEN/STAT - Institut de statistique
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Référence bibliographique Simar, Léopold ; Zelenyuk, Valentin. Statistical inference for aggregates of Farrell-type efficiencies. In: Journal of Applied Econometrics, Vol. 22, no. 7, p. 73-100 (2007)
Permalien http://hdl.handle.net/2078.1/66184