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.
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Acknowledgements
This research was carried out with the financial support of the Spanish Ministry of Science and the European Regional Development Fund (ERDF), grant DPI2017-85343-P.
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Villa, G., Lozano, S. (2020). Data Envelopment Analysis and Non-parametric Analysis. In: Charles, V., Aparicio, J., Zhu, J. (eds) Data Science and Productivity Analytics. International Series in Operations Research & Management Science, vol 290. Springer, Cham. https://doi.org/10.1007/978-3-030-43384-0_5
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