TITLE:
Measuring the NBA Teams’ Cross-Efficiency by DEA Game
AUTHORS:
Luiz Aizemberg, Marcos Costa Roboredo, Thiago Graça Ramos, João Carlos C. B. Soares de Mello, Lidia Angulo Meza, Alessandro Martins Alves
KEYWORDS:
Data Envelopment Analysis, DEA Game, Cross-Efficiency
JOURNAL NAME:
American Journal of Operations Research,
Vol.4 No.3,
April
30,
2014
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.