When Bias Kills the Variance: Central Limit Theorems for DEA and FDH Efficiency Scores

@inproceedings{Kneip2015WhenBK,
  title={When Bias Kills the Variance: Central Limit Theorems for DEA and FDH Efficiency Scores},
  author={Alois Kneip and L{\'e}opold Simar and Paul W. Wilson},
  year={2015}
}
Data envelopment analysis (DEA) and free disposal hull (FDH) estimators are widely used to estimate efficiencies of production units. In applications, both efficiency scores for individual units as well as average efficiency scores are typically reported. While several bootstrap methods have been developed for making inference about the efficiencies of individual units, until now no methods have existed for making inference about mean efficiency levels. This paper shows that standard central… CONTINUE READING

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