2010
DOI: 10.1007/s11123-010-0190-2
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BAM: a bounded adjusted measure of efficiency for use with bounded additive models

Abstract: DEA, Additive models, Efficiency measures, Returns to scale, Bounded additive models, C51, C61,

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Cited by 136 publications
(63 citation statements)
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“…Moreover, BAM offers us a balanced efficiency score, as explained in Cooper et al (2011). Finally, and in order to capture the productivity regress or progress for our three-season database, without creating infeasibilities, we have resorted to the biennial Malmquist index.…”
Section: Discussionmentioning
confidence: 99%
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“…Moreover, BAM offers us a balanced efficiency score, as explained in Cooper et al (2011). Finally, and in order to capture the productivity regress or progress for our three-season database, without creating infeasibilities, we have resorted to the biennial Malmquist index.…”
Section: Discussionmentioning
confidence: 99%
“…Recently, a new efficiency measure was proposed by Cooper et al (2011). It is known as BAM (Bounded Adjusted Measure) and its def inition is based on a modif ication of the additive model, known as the range-bounded additive model.…”
Section: Model Specificationmentioning
confidence: 99%
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“…In this regard, we would like to highlight, first of all, the work carried out by Vidal et al (2014) where the technical efficiency of virgin olive oil PDOs in the 2008-2010 triennium is analyzed, using Data Envelopment Analysis (DEA) models, particularly the BAM (Bounded Adjusted Measure) of Cooper et al (2011b), which allows all possible sources of technical inefficiency to be considered. On the other hand, and in the specific area of productivity, Vidal et al (2015) studied changes in the productivity of these PDOs in the 2008-2013 period by means of global frontiers for each pair of periods analyzed (using the Biennial Malmquist index of Pastor et al, 2011, and a radial model with output orientation).…”
Section: Data Envelopment Analysis Distance Functions and Pareto-koomentioning
confidence: 99%