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. …

-2021. To this end, we use non-parametric and parametric techniques: Data Envelopment Analysis (DEA) and Stochastic Frontier …