Pitfalls and protocols in DEA

By Robert G. Dyson, R. Allen, Ana Santos Camanho, Victor V. Podinovski, C. Sarrico, E. A. Shale. European Journal of Operational Research, 2001

1,594 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/84c0627a901d2ed9228c3dc53288993238ca0808

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Citations in the corpus

The debate on flexibility of environmental regulations, innovation capabilities and financial performance : a novel use of DEA (2018, background): “The DEA literature has suggested that one way of classifying a factor as an output would be to check whether units recording higher performance in terms of that factor would be considered more efficient or not (Golany and Roll, 1989; Dyson et al., 2001; Ramanathan, 2003).”
Productivity Analysis in the Service Sector with Data Envelopment Analysis (2006, neutral): “Model (3) (multiplier model) Model (4) (dual model)”
A survey of data envelopment analysis in energy and environmental studies (2008, methodology): “In empirical applications, two widely adopted rules of thumb are to let the number of DMUs larger than the product and be at least two times larger than the sum of the number of inputs and outputs (Dyson et al., 2001; Ramanathan, 2003, 2005a).”
Income distribution determinants and public spending efficiency (2010, background): “15 Using OECD countries provides some homogeneity, a relevant issue for DEA (see [16]).”
Opening the black box of efficiency analysis: An illustration with UAE banks (2009, methodology): “Consistent with the approach recommended by Dyson et al. [ 12 ], this parsimonious input–output set is considered appropriate for covering the full range of resources used and outputs created, while providing adequate discriminatory power.”
Data envelopment analysis: Prior to choosing a model (2014, background): “We next point out that a problem with index measures may arise in CRS as discussed in [15].”
Data envelopment analysis for weight derivation and aggregation in the analytic hierarchy process (2006, background): “For example, the number of DMUs is expected to be larger than the product of number of inputs and outputs or the sample size should be at least 2 or 3 times larger than the sum of the number of inputs and outputs [44].”
Trends in the efficiency of Singapore's commercial banking groups (2007, methodology): “This is particularly the case with DEA, where Dyson et al. (2001)”
DEA-R: ratio-based comparative efficiency model, its mathematical relation to DEA and its use in applications (2007, background): “From a theoretical perspective, according to Dyson et al. (2001) , controversy is there because there are difficulties arising from the ‘pure’ DEA model as well as the problems arising from augmenting the ‘pure’ model by various weight restrictions, representing mathematical translations of experts”