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 …

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 …

Nonparametric efficiency analysis has become a widely applied technique to support industrial benchmarking as well as a …

technical efficiency and a double bootstrap approach to estimate the determinants of inefficiencies, we show that firms are …In this paper, we measure the technical efficiency for local electricity distribution firms in Sweden, and in … particular how small- and micro-scale generation affects efficiency scores. Using two-stage data envelope analysis to model the …

problems, we propose an efficiency measure based on equilibrium shadow prices of different criteria, and use the bootstrap … compute efficiency scores by optimizing firm-specific shadow prices of inputs and outputs. This could be problematic because … efficiency distributions to gather information regarding efficiency variations and correlations. Through our methodology …

Using the US states plus the District of Columbia, output-oriented innovative efficiency scores are computed using data … the share of revenues collected from institutions of higher learning all correlate with greater efficiency …

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 …