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Sexton, T.R., Silkman, R.H. and Hogan, A.J. (1986) Data Envelopment Analysis: Critique and Extensions. In: Silkman, R.H., Ed., Measuring Efficiency: An Assessment of Data Envelopment Analysis, Jossey-Bass, San Francisco, CA, 73-105.
https://doi.org/10.1002/ev.1441

has been cited by the following article:

• TITLE: The Use of Yanai’s Generalized Coefficient of Determination to Reduce the Number of Variables in DEA Models

  AUTHORS: Mauricio Benegas

  KEYWORDS: DEA, Yanai’s Generalized Coefficient of Determination, Pseudo-Rank, Dimension Reduction, Improving Discrimination

  JOURNAL NAME: American Journal of Operations Research, Vol.7 No.3, May 18, 2017

  ABSTRACT: This paper proposes a new method to reduce the dimensionality of input and output spaces in DEA models. The method is based on Yanai’s Generalized Coefficient of Determination and on the concept of pseudo-rank of a matrix. In addition, the paper suggests a rule to determine the cardinality of the subset of selected variables in a way to gain the maximal discretionary power and to suffer a minimal informational loss.