Statistical inference for aggregates of Farrell-type efficiencies
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.
Year of publication: |
2007
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Authors: | Simar, Léopold ; Zelenyuk, Valentin |
Published in: |
Journal of Applied Econometrics. - John Wiley & Sons, Ltd.. - Vol. 22.2007, 7, p. 1367-1394
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Publisher: |
John Wiley & Sons, Ltd. |
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