Statistical inference for aggregates of Farrell-type efficiencies

Léopold Simar and Valentin Zelenyuk
Additional contact information
Léopold Simar: Institut de Statistique, Université Catholique de Louvain, Louvain-la-Neuve, Belgium, Postal: Institut de Statistique, Université Catholique de Louvain, Louvain-la-Neuve, Belgium

Journal of Applied Econometrics, 2007, vol. 22, issue 7, pages 1367-1394

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. Copyright © 2007 John Wiley & Sons, Ltd.

View citations in EconPapers

Downloads: (external link)
http://hdl.handle.net/10.1002/jae.991 Link to full text; subscription required (text/html)
http://qed.econ.queensu.ca:80/jae/2007-v22.7/ Supporting data files and programs (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Ordering information: This journal article can be ordered from
http://www3.intersci ... e.jsp?issn=0883-7252

Access Statistics for this article

Journal of Applied Econometrics is edited by M. Hashem Pesaran

More articles in Journal of Applied Econometrics from John Wiley & Sons, Ltd.
Series data maintained by Christopher F. Baum ().