Nonparametric conditional efficiency measures: asymptotic properties

Nonparametric conditional efficiency measures: asymptotic properties

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Article ID: iaor20101497
Volume: 173
Issue: 1
Start Page Number: 105
End Page Number: 122
Publication Date: Jan 2010
Journal: Annals of Operations Research
Authors: , ,
Keywords: measurement
Abstract:

Cazals et al. (2002), Daraio and Simar (2005 and 2007) developed a conditional frontier model which incorporates the environmental factors into measuring the efficiency of a production process in a fully nonparametric setup. They also provided the corresponding nonparametric efficiency measures: conditional FDH estimator, conditional DEA estimator. The two estimators have been applied in the literature without any theoretical background about their statistical properties. The aim of this paper is to provide an asymptotic analysis (i.e. asymptotic consistency and limit sampling distribution) of the conditional FDH and conditional DEA estimators.

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