Premium
Statistical inference for aggregates of Farrell‐type efficiencies
Author(s) -
Simar Léopold,
Zelenyuk Valentin
Publication year - 2007
Publication title -
journal of applied econometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.878
H-Index - 99
eISSN - 1099-1255
pISSN - 0883-7252
DOI - 10.1002/jae.991
Subject(s) - merge (version control) , estimator , data envelopment analysis , efficiency , econometrics , statistical inference , economics , inference , context (archaeology) , computer science , point (geometry) , statistics , mathematics , artificial intelligence , paleontology , biology , information retrieval , geometry
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.