Data Envelopment Analysis and Non-parametric Analysis

Gabriel Villa () and Sebastián Lozano
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Gabriel Villa: University of Seville
Sebastián Lozano: University of Seville

Chapter Chapter 5 in Data Science and Productivity Analytics, 2020, pp 121-160 from Springer

Abstract: Abstract This chapter gives an introduction to Data Envelopment Analysis (DEA), presenting an overview of the basic concepts and models used. Emphasis is made on the non-parametric derivation of the Production Possibility Set (PPS), on the multiplicity of DEA models and on how to handle different types of situations, namely, undesirable outputs, ratio variables, multi-period data, negative data non-discretionary variables, and integer variables.

Keywords: Axioms; Non-parametric approach; Production possibility set; Efficient frontier; Efficiency score; Orientation; Metric; Productivity change; Efficiency change; Technical change (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/978-3-030-43384-0_5

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