Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for the estimation of
technical and scale inefficiencies in data envelopment analysis. Management
Science(30), 1078-1092.
Palafox-Alcantar, P.G. & Vargas-Hernández, J.G. (2015). Measuring the efficiency of the 32 franchises in the NFL during
the 2014 season. A data envelopment analysis approach. Journal of Sports Economics & Management, 5(1), 37-53.
2340-7425 © 2015 The Authors. This is an open access article under the CC BY license
(http://creativecommons.org/licenses/by/3.0)
49
Charnes, A., Cooper, W., & Rhodes, R. (1978). Measuring the efficiency of decision making
units. European Journal of Operational Research, 2, 429-444.
Charnes, A., Cooper, W., Devine, D., Ruefli, T., & Thomas, D. (1989). Comparisons of DEA
and existing ratio and regression systems fo efficiency evaluation of regulated electric
cooperatives in Texas. Research in governmental and nonprofit accountign, 187-
210.
Del Corral, J., Maroto, A., & Gallardo, A. (2015). Are former porfessional athletes and native
better coaches? Evidence from spanish basketball. Journal of Sports Economics.
Einolf, K. (2004). Is Winning Everything? A Data Envelopment Analysis of Major League
Baseball and the National Football League. Journal of Sports Economics, 5(2), 127-
151.
FootballDB. (2015). FootballDB team stats. Retrieved Mayo 23, 2105, from
http://www.footballdb.com/stats/teamstat.html?lg=NFL&yr=2014&cat=T&group=
O&conf=&sort=teamname
Fort, R., Lee, Y., & Berri, D. (2008). Race, Technical Efficiency, and Retenttion: The Case of
NBA Coaches. International Journal of Sport Finance, 3(2), 84-97.
Gutiérrez, E., & Lozano, S. (2014). A DEA Approach to Performance-Based Budgeting of
Formula One Constructors. Journal of Sports Economics, 15(2), 180-200.
Guzmán, I., & Morrow, S. (2007). Measuring efficiency and productivity in professional
football teams: evidence from the English Premier League. Central European
Journal of Operations Research(15), 309-328.
Moreno, P., & Lozano, S. (2015). Estimation of Productivity Change of NBA Teams from
2006-07 to 201-13 Season. International Journal of Sport Finance, 10, 217-241.
NFL. (2015). NFL team stats. Retrieved Mayo 23, 2015, from
http://www.nfl.com/stats/categorystats?seasonType=REG&offensiveStatistic...
ry=null&d-447263-n=1&d-447263-o=2&d-447263-p=1&d-447263-
s=TOTAL_POINTS_GAME_AVG&tabSeq=2&season=2014&role=OPP&Submit=Go
&archive=false&conference=null&defensiveStatisticCategory=
Rogge, N., Van Reeth, D., & Van Puyenbroeck, T. (2013). Performance Evaluation of Tour
de France Cycling Teams Using Data Envelopment Analysis. International Journal
of Sport Finance(8), 236-257.
Ruiz, J., Pastor, D., & Pastor, J. (2013). Assessing Professonal Tennis Players Using Data
Envelopment Analysis (DEA). Journal of Sports Economics, 14(3), 276-302.
Spotrac. (2015). Spotrac. Retrieved Mayo 21, 2015, from
http://www.spotrac.com/nfl/cash/2014/
Palafox-Alcantar, P.G. & Vargas-Hernández, J.G. (2015). Measuring the efficiency of the 32 franchises in the NFL during
the 2014 season. A data envelopment analysis approach. Journal of Sports Economics & Management, 5(1), 37-53.
2340-7425 © 2015 The Authors. This is an open access article under the CC BY license
(http://creativecommons.org/licenses/by/3.0)
50
Tiedemann, T., Francksen, T., & Latacz-Lohmann, U. (2011). Assessing the performance of
German Bundesliga football plaers: a non parametric metafrontier approach. Central
European Journal of Operations Research(19), 571-587.
Wang, C., Gopal, R., & Zionts, S. (1997). Use of data envelopment analysis in assessing
information technology impact on firm performance. Annuals of Operations
Research(73), 191-213.
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