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

@inproceedings{Wilson2013WhenBK,
  title={When Bias Kills the Variance : Central Limit Theorems for DEA and FDH Efficiency Scores},
  author={Alois Kneip L{\'e}opold Simar Paul W. Wilson},
  year={2013}
}
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

From This Paper

Topics from this paper.

References

Publications referenced by this paper.
Showing 1-10 of 25 references

FDH efficiency scores from a stochastic point

  • B. U. Park, L. Simar, C. Weiner
  • 2000
Highly Influential
8 Excerpts

FDH efficiency scores from a stochastic point of view

  • B. U. Park, L. Simar, V. Zelenyuk
  • Econometric Theory
  • 2000
Highly Influential
4 Excerpts

Estimation and inference in nonparametric frontier models : Recent developments and perspectives

  • P. W. Wilson
  • Foundations and Trends in Econometrics
  • 2011

Asymptotic distribution of conical - hull estimators of directional edges

  • B. U. Park, L. Simar, C. Weiner
  • Annals of Statistics
  • 2010

Similar Papers

Loading similar papers…