Journal of Productivity Analysis

, Volume 35, Issue 2, pp 85–94

BAM: a bounded adjusted measure of efficiency for use with bounded additive models

  • William W. Cooper
  • Jesús T. Pastor
  • Fernando Borras
  • Juan Aparicio
  • Diego Pastor
Article

DOI: 10.1007/s11123-010-0190-2

Cite this article as:
Cooper, W.W., Pastor, J.T., Borras, F. et al. J Prod Anal (2011) 35: 85. doi:10.1007/s11123-010-0190-2

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.

Keywords

DEA Additive models Efficiency measures Returns to scale Bounded additive models 

JEL Classification

C51 C61 

Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • William W. Cooper
    • 1
  • Jesús T. Pastor
    • 2
  • Fernando Borras
    • 2
  • Juan Aparicio
    • 2
  • Diego Pastor
    • 3
  1. 1.Red McCombs School of BusinessThe University of Texas at AustinAustinUSA
  2. 2.Center of Operations Research (CIO)Universidad Miguel Hernandez de ElcheElcheSpain
  3. 3.División de Educación Física y DeportivaUniversidad Miguel Hernandez de ElcheElcheSpain