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.
CITATION STYLE
Villa, G., & Lozano, S. (2020). Data Envelopment Analysis and Non-parametric Analysis. In International Series in Operations Research and Management Science (Vol. 290, pp. 121–160). Springer. https://doi.org/10.1007/978-3-030-43384-0_5
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