Flexible Measures–Classifying Inputs and Outputs

Wade D. Cook and Joe Zhu
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Wade D. Cook: York University
Joe Zhu: Worcester Polytechnic Institute

Chapter Chapter 14 in Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis, 2007, pp 261-270 from Springer

Abstract: Abstract In standard data envelopment analysis (DEA), it is assumed that the input versus output status of each of the chosen analysis measures is known. In some situations, however, certain measures can play either input or output roles. Consider using the number of interns on staff in a study of hospital efficiency. Such a factor clearly constitutes an output measure for a hospital, being one form of training provided by the organization, but at the same time is an important component of the hospital’s total staff complement, hence is an input. This chapter presents DEA models to accommodate such flexible measures. Both an individual DMU model and an aggregate model are suggested as methodologies for deriving the most appropriate designations for flexible measures.

Keywords: Data Envelopment Analysis (DEA); Flexible; Inputs; Outputs (search for similar items in EconPapers)
Date: 2007
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DOI: 10.1007/978-0-387-71607-7_14

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