Multi-Stage Use of Parametric and Non-Parametric Models

William W. Cooper, Lawrence Seiford and Kaoru Tone
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William W. Cooper: University of Texas
Kaoru Tone: National Graduate Institute for Policy Studies

Chapter 16 in Data Envelopment Analysis, 2007, pp 423-442 from Springer

Abstract: Abstract Observed data for use in DEA may suffer from non-controllable environmental effects and statistical noise. Hence, detaching these external effects from data and uncovering the true managerial efficiency are crucial for evaluating DMUs’ performance. In this chapter, we have covered these subjects and demonstrated a case study dealing with Japanese banking using a three-stage approach.

Keywords: Data Envelopment Analysis; Efficiency Score; Stochastic Frontier; Technical Inefficiency; Stochastic Frontier Analysis (search for similar items in EconPapers)
Date: 2007
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DOI: 10.1007/978-0-387-45283-8_16

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