Bootstrap Estimation for Nonparametric Efficiency Estimates

Paul Wilson and Leopold Simar

No 1995071, LIDAM Discussion Papers CORE from Université catholique de Louvain, Center for Operations Research and Econometrics (CORE)

Abstract: This paper develops a consistent bootstrap estimation procedure to obtain confidence intervals for nonparametric measures of productive efficiency. Although the methodology is illustrated in terms of technical efficiency measured by output distance functions, the technique can be easily extented to consistent non parametric frontier models. Variation in estimated efficiency scores is assumed to result from variation in empirical approximations to the true boundary of the production set. The bootstrap procedure also corrects for bias inherent in non parametric efficiency estimators.

Keywords: Bootstrap; distance function; efficiency; frontier models (search for similar items in EconPapers)
JEL-codes: C1 C4 C6 (search for similar items in EconPapers)
Date: 1995-12-01
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:cor:louvco:1995071

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