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标题:Explaining inefficiency in nonparametric production models: the state of the art
时间:2019-09-11 18:08:12
DOI:10.1007/s10479-012-1173-7
作者:Luiza Bădin;Cinzia Daraio;Léopold Simar
出版源: 《Annals of Operations Research》 ,2014 ,214 (1) :5-30
摘要:Explaining inefficiency in nonparametric production models: The state of the art[J]. Annals of Operations Research, 2014, 214(1):5- 30....
大小:1126 kb
页数:27 PAGES
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目录:
  • Explaining inefficiency in nonparametric production models: the state of the art
    • Abstract
    • Introduction
    • Explaining inefficiency: a brief review of the literature
    • Full frontiers, partial frontiers and conditional efficiency measures
      • Order-m frontiers and conditional order-m efficiency
      • Order-alpha quantile frontiers and conditional order-alpha efficiency
    • Advocating for the nonparametric conditional methodology
      • Detecting the impact of external factors by analysing tauz(P), taumz(P) and taualphaz(P)
      • Assessing the impact of Z through nonparametric regression
      • Interpreting the effect of Z
        • A toy example
      • Confidence intervals for the regression
    • An application of nonparametric conditional methodology to mutual funds data
      • Data and variables
      • Impact of market risks on mutual funds performance
        • Local analysis of the ratios
        • Confidence intervals on the impact
        • Second-stage analysis on the conditional efficiency scores
      • Impact of size on mutual funds performance
        • Local analysis of the ratios
        • Confidence intervals on the impact
        • Second-stage analysis on the conditional efficiency scores
      • Joint impact of Market Risks and Size
    • Conclusions
    • Appendix: The bootstrap algorithm
    • References

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