IDEAS home Printed from https://ideas.repec.org/a/bla/scotjp/v55y2008i1p51-66.html
   My bibliography  Save this article

A Re‐Examination Of Production Functions And Efficiency Estimates For The National Basketball Association

Author

Listed:
  • Young Hoon Lee
  • David Berri

Abstract

This paper seeks to re‐examine the issue of estimating team efficiency for sports teams via an application of data from the National Basketball Association. This paper argues that the inputs the coaches allocate are the players the team employs. Therefore, this paper employs a measure of playing talent in modeling team production. Unlike previous studies, which only employed one measure of playing talent, we employ measures of guards, small forwards and big men in a study of basketball. This paper also argues that the time‐varying stochastic frontier models with the identical temporal pattern assumption such as Lee and Schmidt and Battese and Coelli cannot be used in the analysis of team efficiency in sports. The evidence we present shows by hypothesis test that this argument holds.

Suggested Citation

  • Young Hoon Lee & David Berri, 2008. "A Re‐Examination Of Production Functions And Efficiency Estimates For The National Basketball Association," Scottish Journal of Political Economy, Scottish Economic Society, vol. 55(1), pages 51-66, February.
    • Handle: RePEc:bla:scotjp:v:55:y:2008:i:1:p:51-66
    DOI: 10.1111/j.1467-9485.2008.00443.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1467-9485.2008.00443.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.1467-9485.2008.00443.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Zak, Thomas A & Huang, Cliff J & Siegfried, John J, 1979. "Production Efficiency: The Case of Professional Basketball," The Journal of Business, University of Chicago Press, vol. 52(3), pages 379-392, July.
    2. Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
    3. Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May.
    4. David J. Berri & Anthony C. Krautmann, 2006. "Shirking on the Court: Testing for the Incentive Effects of Guaranteed Pay," Economic Inquiry, Western Economic Association International, vol. 44(3), pages 536-546, July.
    5. Ahn, Seung Chan & Hoon Lee, Young & Schmidt, Peter, 2001. "GMM estimation of linear panel data models with time-varying individual effects," Journal of Econometrics, Elsevier, vol. 101(2), pages 219-255, April.
    6. David J. Berri & Stacey L. Brook & Bernd Frick & Aju J. Fenn & Roberto Vicente-Mayoral, 2005. "The Short Supply of Tall People: Competitive Imbalance and the National Basketball Association," Journal of Economic Issues, Taylor & Francis Journals, vol. 39(4), pages 1029-1041, December.
    7. Peter Dawson & Stephen Dobson & Bill Gerrard, 2000. "Estimating Coaching Efficiency in Professional Team Sports: Evidence from English Association Football," Scottish Journal of Political Economy, Scottish Economic Society, vol. 47(4), pages 399-421, September.
    8. Lawrence Hadley & Marc Poitras & John Ruggiero & Scott Knowles, 2000. "Performance evaluation of National Football League teams," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 21(2), pages 63-70.
    9. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    10. David J. Berri & Martin B. Schmidt, 2006. "On the Road With the National Basketball Association's Superstar Externality," Journal of Sports Economics, , vol. 7(4), pages 347-358, November.
    11. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    12. Peter Dawson & Stephen Dobson & Bill Gerrard, 2000. "Stochastic Frontiers and the Temporal Structure of Managerial Efficiency in English Soccer," Journal of Sports Economics, , vol. 1(4), pages 341-362, November.
    13. David J. Berri & Erick Eschker, 2005. "Performance When It Counts? The Myth of the Prime Time Performer in Professional Basketball," Journal of Economic Issues, Taylor & Francis Journals, vol. 39(3), pages 798-807, September.
    14. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990. "Production frontiers with cross-sectional and time-series variation in efficiency levels," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200.
    15. Dieter J. Haas, 2003. "Technical Efficiency in the Major League Soccer," Journal of Sports Economics, , vol. 4(3), pages 203-215, August.
    16. Scully, Gerald W, 1974. "Pay and Performance in Major League Baseball," American Economic Review, American Economic Association, vol. 64(6), pages 915-930, December.
    17. Lee, Young Hoon, 2006. "A stochastic production frontier model with group-specific temporal variation in technical efficiency," European Journal of Operational Research, Elsevier, vol. 174(3), pages 1616-1630, November.
    18. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    19. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    20. Rafael Cuesta, 2000. "A Production Model With Firm-Specific Temporal Variation in Technical Inefficiency: With Application to Spanish Dairy Farms," Journal of Productivity Analysis, Springer, vol. 13(2), pages 139-158, March.
    21. Hofler, Richard A. & Payne, James E., 1997. "Measuring efficiency in the National Basketball Association1," Economics Letters, Elsevier, vol. 55(2), pages 293-299, August.
    22. David J. Berri, 1999. "Who is 'most valuable'? Measuring the player's production of wins in the National Basketball Association," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 20(8), pages 411-427.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Young Hoon Lee, 2009. "Identification of Segments of Soccer Clubs in the Spanish League First Division with a Latent Class Model Comments," Journal of Sports Economics, , vol. 10(6), pages 651-659, December.
    2. Li, Yongjun & Wang, Lizheng & Li, Feng, 2021. "A data-driven prediction approach for sports team performance and its application to National Basketball Association," Omega, Elsevier, vol. 98(C).
    3. Fabíola Zambom-Ferraresi & Belén Iráizoz & Fernando Lera-López, 2019. "Are football managers as efficient as coaches? Performance analysis with and inputs in the Premier league," Applied Economics, Taylor & Francis Journals, vol. 51(3), pages 303-314, January.
    4. Del Corral, Julio, 2012. "Eficiencia en el deporte: Entrenadores en la Primera División del fútbol español 2009-2011/Efficiency in Sports: Coaches in the Spanish Football First Division 2009-2011," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 30, pages 545-564, Agosto.
    5. Young Hoon Lee, 2009. "Frontier Models and their Application to the Sports Industry," Working Papers 0903, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2009.
    6. Kostas Kounetas, 2014. "Greek football clubs’ efficiency before and after Euro 2004 Victory: a bootstrap approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 22(4), pages 623-645, December.
    7. Stephen A. Bergman & Trevon D. Logan, 2020. "Revenue per Quality of College Football Recruit," Journal of Sports Economics, , vol. 21(6), pages 571-592, August.
    8. Young Hoon Lee, 2010. "The Effects of Management Practices on Productivity: Evidence from Baseball Team Production," Working Papers 1005, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2010.
    9. Chih-Hai Yang & Hsuan-Yu Lin & Chiang-Ping Chen, 2014. "Measuring the efficiency of NBA teams: additive efficiency decomposition in two-stage DEA," Annals of Operations Research, Springer, vol. 217(1), pages 565-589, June.
    10. Nikolaos, Chatzistamoulou & Theodoros, Antonakis & Konstantinos, Kounetas, 2020. "Salary cap and National Basketball Association teams' productive performance. A two stage Data Envelopment Analysis approach under a metatechnology framework," MPRA Paper 98811, University Library of Munich, Germany.
    11. Halkos, George & Tzeremes, Nickolaos, 2012. "Evaluating professional tennis players’ career performance: A Data Envelopment Analysis approach," MPRA Paper 41516, University Library of Munich, Germany.
    12. Young Hoon Lee & Hayley Jang & Sun Ho Hwang, 2015. "Market Competition and Threshold Efficiency in the Sports Industry," Journal of Sports Economics, , vol. 16(8), pages 853-870, December.
    13. PEETERS, Thomas & SZYMANSKI, Stefan, 2012. "Vertical restraints in soccer: Financial fair play and the English Premier League," Working Papers 2012028, University of Antwerp, Faculty of Business and Economics.
    14. Nikos Chatzistamoulou & Kounetas Kostas & Antonakis Theodor, 2022. "Salary Cap, Organizational Gap, and Catch-up in the Performance of NBA Teams: A Two-Stage DEA Model Under Heterogeneity," Journal of Sports Economics, , vol. 23(2), pages 123-155, February.
    15. Andrew W. Nutting, 2010. "Travel Costs in the NBA Production Function," Journal of Sports Economics, , vol. 11(5), pages 533-548, October.
    16. J. Brandon Bolen & Jon Rezek & Joshua D. Pitts, 2019. "Performance Efficiency in NCAA Basketball," Journal of Sports Economics, , vol. 20(2), pages 218-241, February.
    17. Ozmen M. Utku, 2012. "Foreign Player Quota, Experience and Efficiency of Basketball Players," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 8(1), pages 1-18, March.
    18. Mario Lackner, 2010. "And most of us go Pro in something other than Sports - Hiring Preferences and their Effect on the Labor Market for Collegiate Football Players," Economics working papers 2010-10, Department of Economics, Johannes Kepler University Linz, Austria.
    19. Goodall, Amanda H. & Kahn, Lawrence M. & Oswald, Andrew J., 2011. "Why do leaders matter? A study of expert knowledge in a superstar setting," Journal of Economic Behavior & Organization, Elsevier, vol. 77(3), pages 265-284, March.
    20. Julio del Corral & Andrés Maroto & Andrés Gallardo, 2017. "Are Former Professional Athletes and Native Better Coaches? Evidence From Spanish Basketball," Journal of Sports Economics, , vol. 18(7), pages 698-719, October.
    21. R. Todd Jewell, 2020. "NCAA Expenditure and Efficiency: Analyzing Generated and Allocated Revenue in the Football Bowl Subdivision," Journal of Sports Economics, , vol. 21(4), pages 363-390, May.
    22. Andrés Picazo-Tadeo & Francisco González-Gómez, 2010. "Does playing several competitions influence a team’s league performance? Evidence from Spanish professional football," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 18(3), pages 413-432, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Young Hoon Lee, 2009. "Frontier Models and their Application to the Sports Industry," Working Papers 0903, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2009.
    2. Peter Dawson & Stephen Dobson & Bill Gerrard, 2000. "Stochastic Frontiers and the Temporal Structure of Managerial Efficiency in English Soccer," Journal of Sports Economics, , vol. 1(4), pages 341-362, November.
    3. Wen-Jhan Jane, 2013. "Overpayment and Reservation Salary in the Nippon Professional Baseball League," Journal of Sports Economics, , vol. 14(6), pages 563-583, December.
    4. Wen-Jhan Jane & Wei-Hsin Kong & Yi-Hsiue Wang, 2010. "Individual efficiency and club performance: a panel analysis of professional baseball," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 31(5), pages 363-372.
    5. Carlos Pestana Barros & Nicolas Peypoch & Scott Tainsky, 2014. "Cost efficiency of French soccer league teams," Applied Economics, Taylor & Francis Journals, vol. 46(8), pages 781-789, March.
    6. Lee, Young Hoon, 2006. "A stochastic production frontier model with group-specific temporal variation in technical efficiency," European Journal of Operational Research, Elsevier, vol. 174(3), pages 1616-1630, November.
    7. Peter Dawson & Stephen Dobson & Bill Gerrard, 2000. "Estimating Coaching Efficiency in Professional Team Sports: Evidence from English Association Football," Scottish Journal of Political Economy, Scottish Economic Society, vol. 47(4), pages 399-421, September.
    8. Martín Rossi, 2015. "The Econometrics Approach to the Measurement of Efficiency: A Survey," Working Papers 117, Universidad de San Andres, Departamento de Economia, revised Feb 2015.
    9. Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2013. "Stochastic frontier analysis using Stata," Stata Journal, StataCorp LP, vol. 13(4), pages 718-758, December.
    10. T S Mkhabela, 2009. "Measuring Managerial Efficiency in South African Soccer," Studies in Economics and Econometrics, Taylor & Francis Journals, vol. 33(3), pages 1-18, December.
    11. Peng Shi & Wei Zhang, 2011. "A copula regression model for estimating firm efficiency in the insurance industry," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(10), pages 2271-2287.
    12. Julio Peña & Julio Aguirre & René Cerca D'amico, 2004. "Pesca demersal en Chile: eficiencia técnica y escalas de operación," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 19(1), pages 119-160, June.
    13. Carlos Pestana Barros & Stephanie Leach, 2006. "Analyzing the Performance of the English F.A. Premier League With an Econometric Frontier Model," Journal of Sports Economics, , vol. 7(4), pages 391-407, November.
    14. Ilhyeok Park & Young Hoon Lee, 2012. "Efficiency Comparison of International Golfers in the LPGA," Journal of Sports Economics, , vol. 13(4), pages 378-392, August.
    15. Del Corral, Julio, 2012. "Eficiencia en el deporte: Entrenadores en la Primera División del fútbol español 2009-2011/Efficiency in Sports: Coaches in the Spanish Football First Division 2009-2011," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 30, pages 545-564, Agosto.
    16. Carlos Pestana Barros & Julio del Corral & Pedro Garcia-del-Barrio, 2008. "Identification of Segments of Soccer Clubs in the Spanish League First Division With a Latent Class Model," Journal of Sports Economics, , vol. 9(5), pages 451-469, October.
    17. Carlos Pestana Barros & Stephanie Leach, 2007. "Technical efficiency in the English Football Association Premier League with a stochastic cost frontier," Applied Economics Letters, Taylor & Francis Journals, vol. 14(10), pages 731-741.
    18. Coelli, Tim J., 1995. "Recent Developments In Frontier Modelling And Efficiency Measurement," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 39(3), pages 1-27, December.
    19. Aditi Bhattacharyya, 2012. "Adjustment of inputs and measurement of technical efficiency: A dynamic panel data analysis of the Egyptian manufacturing sectors," Empirical Economics, Springer, vol. 42(3), pages 863-880, June.
    20. Vaneet Bhatia & Sankarshan Basu & Subrata Kumar Mitra & Pradyumna Dash, 2018. "A review of bank efficiency and productivity," OPSEARCH, Springer;Operational Research Society of India, vol. 55(3), pages 557-600, November.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:scotjp:v:55:y:2008:i:1:p:51-66. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/sesssea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.