An enhanced BAM for unbounded or partially bounded CRS additive models

An enhanced BAM for unbounded or partially bounded CRS additive models

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Article ID: iaor201527091
Volume: 56
Issue: 6
Start Page Number: 16
End Page Number: 24
Publication Date: Oct 2015
Journal: Omega
Authors: , , , ,
Keywords: statistics: data envelopment analysis
Abstract:

The Bounded Adjusted Measure (BAM), initially defined for the additive model, which is a variable returns to scale (VRS) model, was extended to the constant returns to scale (CRS) case [7]. The added range-bounds, which maintain unaltered the production possibility set (PPS) under VRS, showed an influential effect under CRS, reducing the corresponding PPS, as well as a negative effect, excluding some of the original CRS projections. Here we propose an enhanced extension that, by considering a different set of less restrictive bounds, eliminates the negative effect. Moreover, we customize this new extension for the family of partially bounded CRS additive models, i.e., models where at least one variable is naturally bounded from below, if it is an input, or from above, if it is an output.

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