Stochastic Data Envelopment Analysis

Andreas Behr
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Andreas Behr: University of Duisburg-Essen, Faculty of Business Administration and Economics

Chapter 7 in Production and Efficiency Analysis with R, 2015, pp 161-182 from Springer

Abstract: Abstract The deterministic data envelopment analysis is descriptive. The observed firms are compared with a (most often synthetic) benchmark firm which is either observed or constructed as a linear combination of observed firms. The stochastic data envelopment analysis now enriches the analysis by speculating about firms which have not been observed. The basic idea is that there would probably be an even more efficient benchmark firm if only more firms would have been observed. According to this speculation, the deterministic DEA efficiency scores are probably too optimistic. In this chapter, we discuss how stochastic considerations can be added to data envelopment analysis.

Keywords: Data Envelopment Analysis (DEA); Efficiency Scores; Bootstrap Estimator; Bootstrap Samples; FEAR Package (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1007/978-3-319-20502-1_7

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