Nonparametric Efficiency Estimation In Stochastic Environments

Thierry Post (), Laurens Cherchye and Timo Kuosmanen
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Thierry Post: Erasmus University Rotterdam, Rotterdam, The Netherlands

Operations Research, 2002, vol. 50, issue 4, 645-655

Abstract: This paper develops a new nonparametric model for efficiency estimation. In contrast to Data Envelopment Analysis (DEA), it does not impose debatable production assumptions like free disposability and convexity, and it does not assume that the data are measured without error. The estimators are asymptotically unbiased and have an asymptotic variance that is comparable to that of stochastic frontier estimators (provided the latter use a correct specification of the functional form for the production relationships). In addition, the estimators can be computed using a simple enumeration algorithm.

Keywords: Econometrics:; nonparametric; efficiency; analysis.; Input-output; analysis (search for similar items in EconPapers)
Date: 2002
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Citations: View citations in EconPapers (10)

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http://dx.doi.org/10.1287/opre.50.4.645.2854 (application/pdf)

Related works:
Working Paper: Nonparametric Efficiency Estimation in Stochastic Environments (II) (2001)
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Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:50:y:2002:i:4:p:645-655

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