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BAM: a bounded adjusted measure of efficiency for use with bounded additive models |
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| Authors: | William W Cooper Jesús T Pastor Fernando Borras Juan Aparicio Diego Pastor |
| Institution: | 1.Red McCombs School of Business,The University of Texas at Austin,Austin,USA;2.Center of Operations Research (CIO),Universidad Miguel Hernandez de Elche,Elche,Spain;3.División de Educación Física y Deportiva,Universidad Miguel Hernandez de Elche,Elche,Spain |
| Abstract: | A decade ago the Range Adjusted Measure (RAM) was introduced for use with Additive Models. The empirical experience gained since then recommends developing a new measure with similar characteristics but with more discriminatory power. This task is accomplished in this paper by introducing the Bounded Adjusted Measure (BAM) in connection with a new family of Data Envelopment Analysis (DEA) additive models that incorporate lower bounds for inputs and upper bounds for outputs while accepting any returns to scale imposed on the production technology. |
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