Nonparametric conditional efficiency measures: asymptotic properties
Byeong Park and
Leopold Simar ()
Annals of Operations Research, 2010, vol. 173, issue 1, 105-122
Cazals et al. (J. Econom. 106: 1–25, 2002 ), Daraio and Simar (J. Prod. Anal. 24: 93–121, 2005 ; Advanced Robust and Nonparametric Methods in Efficiency Analysis, 2007a ; J. Prod. Anal. 28: 13–32, 2007b ) 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. Copyright Springer Science+Business Media, LLC 2010
Keywords: Frontier model; Environmental variable; Conditional frontier; Conditional DEA; Conditional FDH; Asymptotic distribution (search for similar items in EconPapers)
References: Add references at CitEc
Citations View citations in EconPapers (28) Track citations by RSS feed
Downloads: (external link)
Access to full text is restricted to subscribers.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:spr:annopr:v:173:y:2010:i:1:p:105-122:10.1007/s10479-008-0359-5
Ordering information: This journal article can be ordered from
Access Statistics for this article
Annals of Operations Research is currently edited by Endre Boros
More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla ().