Testing over-representation of observations in subsets of a DEA technology

Mette Asmild (), Jens Hougaard () and Ole B. Olesen ()
Additional contact information
Mette Asmild: ORMS Group, Postal: Warwick Business School,Coventry, CV4 7AL, UK
Ole B. Olesen: Department of Business and Economics, Postal: University of Southern Denmark, Campusvej 55, DK-5230 Odense M, Denmark

No 2/2010, Discussion Papers on Economics from University of Southern Denmark, Department of Economics

Abstract: This paper proposes a test for whether data are over-represented in a given production zone, i.e. a subset of a production possibility set which has been estimated using the non-parametric Data Envelopment Analysis (DEA) approach. A binomial test is used that relates the number of observations inside such a zone to a discrete probability weighted relative volume of that zone. A Monte Carlo simulation illustrates the performance of the proposed test statistic and suggests good estimation of both facet probabilities and the assumed common inefficiency distribution in a three dimensional input space.

Keywords: Data Envelopment Analysis (DEA); Over-representation; Data density; Binomial test; Convex hull (search for similar items in EconPapers)
JEL-codes: C00 C40 C60 C80 (search for similar items in EconPapers)
Pages: 27 pages
Date: 2010-05-01
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Related works:
Journal Article: Testing over-representation of observations in subsets of a DEA technology (2013)
Working Paper: Testing over-representation of observations in subsets of a DEA technology (2011)
Working Paper: Testing over-representation of observations in subsets of a DEA technology (2010)
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Persistent link: https://EconPapers.repec.org/RePEc:hhs:sdueko:2010_002

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