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A Data Envelopment Analysis Toolbox for MATLAB

Author

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  • Álvarez, Inmaculada

    (Departamento de Análisis Económico (Teoría e Historia Económica). Universidad Autónoma de Madrid.)

  • Barbero, Javier

    (Departamento de Análisis Económico (Teoría e Historia Económica). Universidad Autónoma de Madrid.)

  • Zofío, Jose Luis

    (Departamento de Análisis Económico (Teoría e Historia Económica). Universidad Autónoma de Madrid.)

Abstract

Data Envelopment Analysis Toolbox is a new package for MATLAB that includes functions to calculate the main DEA models. The package includes code for the standard additive and radial input and output measures, allowing for constant and variable returns to scale, as well as recent developments related to the directional distance function, and including both desirable and undesirable outputs when measuring efficiency and productivity; i.e., Malmquist and Malmquist-Luenberger indices. Bootstrapping to perform statistical analysis is also included. This paper describes the methodology and implementation of the functions and reports numerical results with well-known examples to illustrate their use.

Suggested Citation

  • Álvarez, Inmaculada & Barbero, Javier & Zofío, Jose Luis, 2016. "A Data Envelopment Analysis Toolbox for MATLAB," Working Papers in Economic Theory 2016/03, Universidad Autónoma de Madrid (Spain), Department of Economic Analysis (Economic Theory and Economic History).
  • Handle: RePEc:uam:wpaper:201603
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    References listed on IDEAS

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    3. Orea, Luis & Zofío, José L., 2017. "A primer on the theory and practice of efficiency and productivity analysis," Efficiency Series Papers 2017/05, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    4. Maria-Eugenia Sanin & Sylvain Sourisseau, 2019. "Pervasive EUAs free allocation: the case of the steel industry," Documents de recherche 19-06, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
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    6. Trinks, Arjan & Mulder, Machiel & Scholtens, Bert, 2020. "An Efficiency Perspective on Carbon Emissions and Financial Performance," Ecological Economics, Elsevier, vol. 175(C).
    7. Juan Aparicio & Javier Barbero & Magdalena Kapelko & Jesus T. Pastor & Jose L. Zofio, 2016. "Environmental Productivity Change in World Air Emissions: A new Malmquist-Luenberger Index Approach," JRC Research Reports JRC104083, Joint Research Centre.
    8. Kuljanin, Jovana & Kalić, Milica & Caggiani, Leonardo & Ottomanelli, Michele, 2019. "A comparative efficiency and productivity analysis: Implication to airlines located in Central and South-East Europe," Journal of Air Transport Management, Elsevier, vol. 78(C), pages 152-163.
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    10. Monastyrenko, Evgenii, 2017. "Eco-efficiency outcomes of mergers and acquisitions in the European electricity industry," Energy Policy, Elsevier, vol. 107(C), pages 258-277.
    11. Balk, Bert M. & Zofío, José L., 2020. "Symmetric decompositions of cost variation," European Journal of Operational Research, Elsevier, vol. 285(3), pages 1189-1198.
    12. Xia, Fan & Xu, Jintao, 2020. "Green total factor productivity: A re-examination of quality of growth for provinces in China," China Economic Review, Elsevier, vol. 62(C).
    13. Balk, B.M. & Zofío, J.L., 2019. "The Decompositions of Cost Variation," ERIM Report Series Research in Management ERS-2019-006-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
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    More about this item

    Keywords

    Data Envelopment Analysis; Distance functions; Technical efficiency; Matlab;
    All these keywords.

    JEL classification:

    • D20 - Microeconomics - - Production and Organizations - - - General
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory

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