Statistical inference for aggregates of Farrell-type efficiencies

Simar, Leopold and Zelenyuk, Valentin (2007) Statistical inference for aggregates of Farrell-type efficiencies. Journal of Applied Econometrics, 22 7: 1367-1394. doi:10.1002/jae.991

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Author Simar, Leopold
Zelenyuk, Valentin
Title Statistical inference for aggregates of Farrell-type efficiencies
Journal name Journal of Applied Econometrics   Check publisher's open access policy
ISSN 0883-7252
Publication date 2007
Sub-type Article (original research)
DOI 10.1002/jae.991
Open Access Status
Volume 22
Issue 7
Start page 1367
End page 1394
Total pages 28
Editor Luc Bauwens
Alvaro Escribano
Michel Lubrano
Place of publication Bognor Regis, West Sussex, United Kingdom
Publisher John Wiley & Sons
Language eng
Abstract 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.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Economics Publications
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Citation counts: TR Web of Science Citation Count  Cited 17 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 25 times in Scopus Article | Citations
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Created: Wed, 18 May 2011, 15:15:40 EST by Alys Hohnen on behalf of School of Economics