Editing Data envelopment analysis (section)

==History==
Building on the ideas of Farrell,<ref name=farrell>Farrell (1957)</ref> the 1978 work "Measuring the efficiency of decision-making units" by [[Abraham Charnes|Charnes]], [[William W. Cooper|Cooper]] & [[Edwardo Rhodes|Rhodes]]<ref name=":0" /> applied linear programming to estimate, for the first time, an [[empirical]], production-technology frontier. In [[Germany]], the procedure had earlier been used to estimate the [[marginal productivity]] of [[R&D]] and other factors of production. Since then, there have been a large number of books and journal articles written on DEA or about applying DEA to various sets of problems.

Starting with the CCR model, named after Charnes, Cooper, and Rhodes,<ref name=":0"/> many extensions to DEA have been proposed in the literature. They range from adapting implicit model assumptions such as input and output orientation, distinguishing technical and allocative efficiency,<ref name=allo>Fried et al (2008)</ref> adding limited disposability<ref>Cooper et al (2000)</ref>
of inputs/outputs or varying returns-to-scale<ref>Banker et al (1984)</ref> to techniques that utilize DEA results and extend them for more sophisticated analyses, such as stochastic DEA<ref name=":1">Olesen (2016)</ref> or cross-efficiency analysis.<ref name=":2" />