education context. The ease with which data envelopment analysis (DEA) can handle multiple inputs and multiple outputs makes it … presented. The paper ends with an application of DEA to a data set of more than 100 HEIs in England using data for the year 2000 … Sirvent [2002. Operations Research, 50(4), 728-735] test for comparing nested DEA models is useful in reducing the full model …

. -- nonparametric efficiency analysis ; pollution abatement ; network DEA ; materials balance condition ; fosil-fueled power plants …

. Nowadays, the most prominent representatives are nonparametric data envelopment analysis (DEA) and parametric stochastic … with the two "oldies" DEA and SFA and extends the initial Monte Carlo simulation of Kuosmanen and Kortelainen (2010) in …

Since the introduction of bootstrap DEA there is a growing literature on applications which use this method, mainly for … hypothesis testing. It is therefore important to establish the consistency and evaluate the performance of bootstrap DEA. The few … coverage probabilities are not a good tool of assessment. In our study we evaluate the performance of bootstrap DEA using the …

requirements that are not always obvious to the non-expert user. Bootstrap DEA is a significant development of the past decade …, which could be extended to test almost any hypothesis in bootstrap DEA. Moreover, it enhances the intuition behind bootstrap … DEA and highlights logical and theoretical pitfalls that should be avoided. …

Envelopment Analysis (DEA). Recently, it has been generalised to multi-output technologies by directional distance and ray … production functions. First Monte Carlo simulation studies have shown that StoNED offers a promising alternative to DEA and SFA … by Leontief functions or are characterised by by-products. Contrary to previous results, DEA then generates competitive …