C. Lovell

TL;DR: In this article, the authors propose an alternative model which allows exogenous variables to influence both the structure of production possibilities and the degree of productive inefficiency, which overcomes some of the economic and statistical problems that plague previous approaches.

TL;DR: The use of DEA has been rapidly expanding and has been accompanied by developments which have enhanced its power and enlarged DEA's utility for additional applications as discussed by the authors, including simulation studies comparing DEA with competing forms of statistical regressions.

TL;DR: Data envelopment analysis (DEA) and free disposal hull (FDH) analysis are alternative nonparametric techniques for constructing production and related frontiers, and for measuring the performance of production units relative to those frontiers as discussed by the authors.

TL;DR: In this paper, the authors show how a conventional performance evaluation methodology has evolved into a novel performance enhancement methodology, which is the result of cooperations among individual credit union managements, movement officials and the authors.