Advertised on behalf of the Mathematical Programming Study Group of the
OR Society
The following talk is relevant to statisticians interested in data
envelopment analysis.
*STATISTICAL TESTS BASED ON DEA EFFICIENCY SCORES*
by Rajiv Banker and Ram Natrajan, Temple University, USA
Monday 30th April, 6pm to 7.30pm
London School of Economics
Room H103, Connaught House, The Aldwych.
This chapter is written for analysts and researchers who may use Data
Envelopment Analysis (DEA) to statistically evaluate hypotheses about
characteristics of production correspondences and factors affecting
productivity. Contrary to some characterizations, it is shown that DEA
is a full-fledged statistical methodology, based on the characterization
of DMU efficiency as a stochastic variable. The DEA estimator of the
production frontier has desirable statistical properties, and provides a
basis for the construction of a wide range of formal statistical tests
(Banker 1993). Specific tests described here address issues such as
comparisons of efficiency of groups of DMUs, existence of scale
economies, existence of allocative inefficiency,
separability and substitutability of inputs in production systems,
analysis of technical change and productivity change,/ /impact of
contextual variables on productivity and the adequacy of parametric
functional forms in estimating monotone and concave production
functions.
Paul Gentry
Theme Manager, Meetings & Conferences
Royal Statistical Society
Direct Tel. (020) 7614 3918
Fax. (020) 7614 3905
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