Data Envelopment Analysis
In Section 1.2.9, the original model of data envelopment analysis (DEA), developed by Charnes, Cooper, and Rhodes , was introduced. With their study, DEA began as a new approach for efficiency and productivity analysis. They described DEA as a “mathematical programming model applied to observational data [that] provides a new way of obtaining empirical estimates of extremal relationships such as the production functions and/or efficient production possibility surfaces that are a cornerstone of modern economics” [34, p. 8].
KeywordsData Envelopment Analysis Undesirable Output Output Distance Function Input Distance Function Envelopment Surface
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References and Further Reading
- A. I. Ali, Computational aspects of DEA, in A. Charnes, W. W. Cooper, A. Lewin, and L. M. Seiford, eds., Data Envelopment Analysis: Theory, Methodology, and Applications, Kluwer Academic Publishers, Boston, 1994, 63–88.Google Scholar
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- S. C. Ray, Data Envelopment Analysis: Theory and Techniques for Economics and Operation Research, Cambridge University Press, Cambridge, UK, 2004.Google Scholar