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Is it efficient to analyse efficiency rankings?

  • Uwe Jensen


    (Institut fØr Statistik und ãkonometrie, Christian-Albrechts-UniversitÄt, Olshausenstr. 40, D-24118 Kiel, Germany)

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    When production functions are estimated as frontier functions, the deviations from the frontier can be interpreted as individual inefficiency estimates. Unfortunately, it has recently been shown that efficiency differences across individuals are very often statistically insignificant. In this paper, we will analyse the consequences of the consideration of confidence statements for the reliability of efficiency rankings. The stochastic frontier and confidence intervals derived by Horrace and Schmidt are compared to the COLS approach and bootstrap confidence intervals. The membership function is proposed as a simple Monte-Carlo approximation for the probability for an individual to be the most efficient in the sample.

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    Article provided by Springer in its journal Empirical Economics.

    Volume (Year): 25 (2000)
    Issue (Month): 2 ()
    Pages: 189-208

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    Handle: RePEc:spr:empeco:v:25:y:2000:i:2:p:189-208
    Note: received: May 1998/final version accepted: July 1999
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