Luiz Aizemberg, Marcos Costa Roboredo, Thiago Graça Ramos, João Carlos C. B. Soares de Mello, Lidia Angulo Meza, Alessandro Martins Alves

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Production Engineering Department, Fluminense Federal University, Niterói, Brazil.
Institute of Mathematics and Statistics, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
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Abstract: In this paper, we use DEA to measure the NBA basketball teams’ efficiency in seasons 2006-2007, 2007-2008, 2008-2009 and 2009-2010. In this context, each team is a DMU; we select the payroll and the average attendance to be the inputs while the wins and the average points per game to be the outputs. First, in order to obtain benchmarks, we measure the DMUs efficiency through classic DEA BCC model with an assurance region for each one of the four seasons individually and together. When we consider the four seasons together, we may analyse whether the performance of each team increases or decreases over time. Next, we evaluate the teams cross efficiency by DEA game to consider that there is no cooperation among DMUs. This approach also improves the efficiencies discrimination.

Keywords: Data Envelopment Analysis, DEA Game, Cross-Efficiency

Cite this paper: Aizemberg, L. , Roboredo, M. , Ramos, T. , Mello, J. , Meza, L. and Alves, A. (2014) Measuring the NBA Teams’ Cross-Efficiency by DEA Game. American Journal of Operations Research, 4, 101-112. doi: 10.4236/ajor.2014.43010.

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