Abstract
Data envelopment analysis is a very popular method to obtain efficiency scores for firms. Its charm is its simplicity. The firms under analysis are compared to the most efficient firm, which most often is a synthetic firm obtained as a linear combination of reference firms. The method is nonparametric as no assumptions on functional relations between inputs and outputs have to be made.
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Notes
- 1.
In this chapter we follow rather closely the highly recommended monograph on Data Envelopment Analysis by Cooper et al. (2007).
- 2.
The symbol \(\gtrdot \) indicates that for all elements of the vector ≥ and at least for one element > holds.
- 3.
The package is described in detail in the monograph of the package authors: Bogetoft and Otto (2001).
References
Bogetoft P, Otto L (2001) Benchmarking with DEA, SFA and R. Springer, New York
Coelli TJ, Prasada Rao DS, O’Donnell CJ, Battese GE (2005) An introduction to efficiency and productivity analysis, 2nd edn. Springer, New York
Cooper WW, Seiford LM, Tone K (2007) Data envelopment analysis. Springer, New York
Cooper WW, Seiford LM, Zhu J (2011) Handbook on data envelopment analysis, chap Data envelopment analysis: history, models and interpretations. Springer, New York, pp 1–39
Thanassoulis E, Portela MCS, Despic O (2008) The measurement of productive efficiency and productivity growth, chap Data envelopment analysis: the mathematical programming approach to efficiency analysis. Oxford University Press, Oxford
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Behr, A. (2015). Data Envelopment Analysis. In: Production and Efficiency Analysis with R. Springer, Cham. https://doi.org/10.1007/978-3-319-20502-1_6
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DOI: https://doi.org/10.1007/978-3-319-20502-1_6
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