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

نویسندگان

  • Mette Asmild
  • Jens Leth Hougaard
  • Ole Bent Olesen
چکیده

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.

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عنوان ژورنال:
  • European Journal of Operational Research

دوره 230  شماره 

صفحات  -

تاریخ انتشار 2013