Statistical inference for aggregates of Farrell-type efficiencies

Simar, Léopold;Zelenyuk, Valentin
(2007) Journal of Applied Econometrics — Vol. 22, n° 7, p. 73-100 (2007)

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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.
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Simar, L., & Zelenyuk, V. (2007). Statistical inference for aggregates of Farrell-type efficiencies. Journal of Applied Econometrics, 22(7), 73-100. https://doi.org/10.1002/jae.991 (Original work published 2007)