IDEAS home Printed from https://ideas.repec.org/a/sae/jospec/v18y2017i2p126-139.html
   My bibliography  Save this article

Strategic Offsetting Behavior in the NBA

Author

Listed:
  • Alexander W. Salter

Abstract

This brief article estimates the effects of a rule change from the early days of professional basketball. The Mikan rule was intended to curb the offensive potency of tall players whose primary contribution to team output consisted of points scored close to the basket. The Mikan rule limited players’ ability to stand close to the basket, and hence made it more difficult for these players to score. However, the rule change did not account for strategic offsetting behavior—that defensive players’ optimal allocation of resources would change in response to the rule. I engage the literature on strategic offsetting behavior and estimate a two-way fixed effects model that strongly suggests the Mikan rule did not have its intended effect due to strategic offsetting behavior.

Suggested Citation

  • Alexander W. Salter, 2017. "Strategic Offsetting Behavior in the NBA," Journal of Sports Economics, , vol. 18(2), pages 126-139, February.
  • Handle: RePEc:sae:jospec:v:18:y:2017:i:2:p:126-139
    DOI: 10.1177/1527002514560578
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1527002514560578
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1527002514560578?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. BRYAN C. McCANNON, 2011. "Strategic Offsetting Behavior: Evidence From National Collegiate Athletic Association Men'S Basketball," Contemporary Economic Policy, Western Economic Association International, vol. 29(4), pages 550-563, October.
    2. Joseph P. McGarrity & Brian Linnen, 2010. "Pass or Run: An Empirical Test of the Matching Pennies Game Using Data from the National Football League," Southern Economic Journal, John Wiley & Sons, vol. 76(3), pages 791-810, January.
    3. Mark Walker & John Wooders, 2001. "Minimax Play at Wimbledon," American Economic Review, American Economic Association, vol. 91(5), pages 1521-1538, December.
    4. McCormick, Robert E. & Tollison, Robert D., 2001. "Why do black basketball players work more for less money?," Journal of Economic Behavior & Organization, Elsevier, vol. 44(2), pages 201-219, February.
    5. McCormick, Robert E & Tollison, Robert D, 1984. "Crime on the Court," Journal of Political Economy, University of Chicago Press, vol. 92(2), pages 223-235, April.
    6. P.-A. Chiappori, 2002. "Testing Mixed-Strategy Equilibria When Players Are Heterogeneous: The Case of Penalty Kicks in Soccer," American Economic Review, American Economic Association, vol. 92(4), pages 1138-1151, September.
    7. Daron Acemoglu, 2010. "Theory, General Equilibrium, and Political Economy in Development Economics," Journal of Economic Perspectives, American Economic Association, vol. 24(3), pages 17-32, Summer.
    8. Ignacio Palacios-Huerta, 2003. "Professionals Play Minimax," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 395-415.
    9. Adam Pope & Robert Tollison, 2010. "“Rubbin’ is racin''': evidence of the Peltzman effect from NASCAR," Public Choice, Springer, vol. 142(3), pages 507-513, March.
    10. repec:bla:kyklos:v:43:y:1990:i:4:p:611-24 is not listed on IDEAS
    11. Peltzman, Sam, 1975. "The Effects of Automobile Safety Regulation," Journal of Political Economy, University of Chicago Press, vol. 83(4), pages 677-725, August.
    Full references (including those not matched with items on IDEAS)

    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. Emara, Noha & Owens, David & Smith, John & Wilmer, Lisa, 2017. "Serial correlation in National Football League play calling and its effects on outcomes," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 69(C), pages 125-132.
    2. Joseph P. McGarrity & Brian Linnen, 2010. "Pass or Run: An Empirical Test of the Matching Pennies Game Using Data from the National Football League," Southern Economic Journal, John Wiley & Sons, vol. 76(3), pages 791-810, January.
    3. Jim Downey & Joseph McGarrity, 2015. "Pick off Throws, Stolen Bases, and Southpaws: A Comparative Static Analysis of a Mixed Strategy Game," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 43(3), pages 319-335, September.
    4. Sean Duffy & J. J. Naddeo & David Owens & John Smith, 2024. "Cognitive Load and Mixed Strategies: On Brains and Minimax," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 26(03), pages 1-34, September.
    5. Leonidas Spiliopoulos, 2018. "Randomization and serial dependence in professional tennis matches: Do strategic considerations, player rankings and match characteristics matter?," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 13(5), pages 413-427, September.
    6. Jim Downey & Joseph McGarrity, 2019. "Pressure and the ability to randomize decision-making: The case of the pickoff play in Major League Baseball," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 47(3), pages 261-274, September.
    7. repec:cup:judgdm:v:13:y:2018:i:5:p:413-427 is not listed on IDEAS
    8. Emara, Noha & Owens, David & Smith, John & Wilmer, Lisa, 2014. "Minimax on the gridiron: Serial correlation and its effects on outcomes in the National Football League," MPRA Paper 58907, University Library of Munich, Germany.
    9. Germán Coloma, 2007. "Penalty Kicks in Soccer," Journal of Sports Economics, , vol. 8(5), pages 530-545, October.
    10. Massimiliano Landi & Domenico Colucci, 2005. "Rational and boundedly rational behavior in sender-receiver games," Working Papers 14-2006, Singapore Management University, School of Economics, revised May 2006.
    11. Van Essen, Matt & Wooders, John, 2015. "Blind stealing: Experience and expertise in a mixed-strategy poker experiment," Games and Economic Behavior, Elsevier, vol. 91(C), pages 186-206.
    12. Luigi Buzzacchi & Stefano Pedrini, 2014. "Does player specialization predict player actions? Evidence from penalty kicks at FIFA World Cup and UEFA Euro Cup," Applied Economics, Taylor & Francis Journals, vol. 46(10), pages 1067-1080, April.
    13. Heifetz, Aviad & Heller, Ruth & Ostreiher, Roni, 2021. "Do Arabian babblers play mixed strategies in a “volunteer’s dilemma”?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 91(C).
    14. Spiliopoulos, Leonidas, 2012. "Pattern recognition and subjective belief learning in a repeated constant-sum game," Games and Economic Behavior, Elsevier, vol. 75(2), pages 921-935.
    15. Massimiliano Landi, 2008. "Rational and boundedly rational behavior in a binary choice sender-receiver game," Working Papers 04-2008, Singapore Management University, School of Economics.
    16. Wolfgang Leininger & Axel Ockenfels, 2007. "The Penalty-Duel and Institutional Design: Is there a Neeskens-Effect?," Working Paper Series in Economics 34, University of Cologne, Department of Economics.
    17. Steven D. Levitt & John A. List & David H. Reiley, 2010. "What Happens in the Field Stays in the Field: Exploring Whether Professionals Play Minimax in Laboratory Experiments," Econometrica, Econometric Society, vol. 78(4), pages 1413-1434, July.
    18. Yuval Salant & Jörg L. Spenkuch, 2021. "Complexity and Choice," CESifo Working Paper Series 9239, CESifo.
    19. Kenneth Kovash & Steven D. Levitt, 2009. "Professionals Do Not Play Minimax: Evidence from Major League Baseball and the National Football League," NBER Working Papers 15347, National Bureau of Economic Research, Inc.
    20. Axel Anderson & Jeremy Rosen & John Rust & Kin-Ping Wong, 2021. "Disequilibrium Play in Tennis," Working Papers gueconwpa~21-21-07, Georgetown University, Department of Economics.
    21. Jin-Hyuk Kim, 2013. "Does competition affect evolutionary dynamics? Evidence from a collegiate university," Applied Economics Letters, Taylor & Francis Journals, vol. 20(8), pages 781-785, May.

    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:sae:jospec:v:18:y:2017:i:2:p:126-139. 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: SAGE Publications (email available below). General contact details of provider: .

    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.