IDEAS home Printed from https://ideas.repec.org/a/sae/jospec/v19y2018i8p1067-1092.html
   My bibliography  Save this article

Shadow and Spillover Effects of Competition in NBA Playoffs

Author

Listed:
  • Brian Hill

Abstract

The National Basketball Association (NBA) playoffs are structured as an elimination tournament where reseeding does not occur after each round. This structure leads to situations where future competitors (the shadow effect) and previous effort (the spillover effect) affect current performance. Using data from the 2009-2014 NBA playoffs, results here find that, when a future opponent is known, a series favorite is significantly more likely to win a game when the future opponent is weaker than expected. Estimates also provide evidence that greater previous effort by teams increases the probability the series favorite wins a game.

Suggested Citation

  • Brian Hill, 2018. "Shadow and Spillover Effects of Competition in NBA Playoffs," Journal of Sports Economics, , vol. 19(8), pages 1067-1092, December.
    • Handle: RePEc:sae:jospec:v:19:y:2018:i:8:p:1067-1092
    DOI: 10.1177/1527002517704020
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1527002517704020
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1527002517704020?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. Sauer, Raymond D & Brajer, Vic & Ferris, Stephen P & Marr, M Wayne, 1988. "Hold Your Bets: Another Look at the Efficiency of the Gambling Market for National Football League Games: Comment," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 206-213, February.
    2. Jennifer Brown & Dylan B. Minor, 2014. "Selecting the Best? Spillover and Shadows in Elimination Tournaments," Management Science, INFORMS, vol. 60(12), pages 3087-3102, December.
    3. Joseph Price & Brian P. Soebbing & David Berri & Brad R. Humphreys, 2010. "Tournament Incentives, League Policy, and NBA Team Performance Revisited," Journal of Sports Economics, , vol. 11(2), pages 117-135, April.
    4. Rodney J. Paul & Andrew P. Weinbach, 2005. "Bettor Misperceptions in the NBA," Journal of Sports Economics, , vol. 6(4), pages 390-400, November.
    5. Brian P. Soebbing & Brad R. Humphreys, 2013. "Do Gamblers Think That Teams Tank? Evidence From The Nba," Contemporary Economic Policy, Western Economic Association International, vol. 31(2), pages 301-313, April.
    6. Kyle J. Kain & Trevon D. Logan, 2014. "Are Sports Betting Markets Prediction Markets?," Journal of Sports Economics, , vol. 15(1), pages 45-63, February.
    7. Beck A. Taylor & Justin G. Trogdon, 2002. "Losing to Win: Tournament Incentives in the National Basketball Association," Journal of Labor Economics, University of Chicago Press, vol. 20(1), pages 23-41, January.
    8. Hajime Katayama & Hudan Nuch, 2011. "A game-level analysis of salary dispersion and team performance in the national basketball association," Applied Economics, Taylor & Francis Journals, vol. 43(10), pages 1193-1207.
    9. Craig A. Depken II & Matthew Hood & Ernest King, 2017. "Consistency and Momentum in NASCAR," Journal of Sports Economics, , vol. 18(6), pages 601-621, August.
    10. Gray, Philip K & Gray, Stephen F, 1997. "Testing Market Efficiency: Evidence from the NFL Sports Betting Market," Journal of Finance, American Finance Association, vol. 52(4), pages 1725-1737, September.
    11. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    12. Benjamin Leard & Joanne M. Doyle, 2011. "The Effect of Home Advantage, Momentum, and Fighting on Winning in the National Hockey League," Journal of Sports Economics, , vol. 12(5), pages 538-560, October.
    13. Arkes Jeremy & Martinez Jose, 2011. "Finally, Evidence for a Momentum Effect in the NBA," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(3), pages 1-16, July.
    14. Zuber, Richard A & Gandar, John M & Bowers, Benny D, 1985. "Beating the Spread: Testing the Efficiency of the Gambling Market for National Football League Games," Journal of Political Economy, University of Chicago Press, vol. 93(4), pages 800-806, August.
    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. Ira Horowitz, 2018. "Competitive Balance in the NBA Playoffs," The American Economist, Sage Publications, vol. 63(2), pages 215-227, October.
    2. Christian Deutscher & Marco Sahm & Sandra Schneemann & Hendrik Sonnabend, 2019. "Strategic Investment Decisions in Multi-stage Contests with Heterogeneous Players," CESifo Working Paper Series 7474, CESifo.
    3. Lackner, Mario & Stracke, Rudi & Sunde, Uwe & Winter-Ebmer, Rudolf, 2020. "Are competitors forward looking in strategic interactions? Field evidence from multistage tournaments," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 544-565.
    4. Stefan Thiem, 2021. "Spillover Effects in Contests with Heterogeneous Players - Evidence from European Football," Applied Economics, Taylor & Francis Journals, vol. 53(12), pages 1378-1394, March.
    5. Christian Deutscher & Marco Sahm & Sandra Schneemann & Hendrik Sonnabend, 2022. "Strategic investment decisions in multi-stage contests with heterogeneous players," Theory and Decision, Springer, vol. 93(2), pages 281-317, 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. Robert Arscott, 2023. "Market Efficiency and Censoring Bias in College Football Gambling," Journal of Sports Economics, , vol. 24(5), pages 664-689, June.
    2. Stekler, H.O. & Sendor, David & Verlander, Richard, 2010. "Issues in sports forecasting," International Journal of Forecasting, Elsevier, vol. 26(3), pages 606-621, July.
      • Herman O. Stekler & David Sendor & Richard Verlander, 2009. "Issues in Sports Forecasting," Working Papers 2009-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    3. Jeremy M. Losak & Andrew P. Weinbach & Rodney J. Paul, 2023. "Behavioral Biases in Daily Fantasy Baseball: The Case of the Hot Hand," Journal of Sports Economics, , vol. 24(3), pages 374-401, April.
    4. Quitzau, Jörn, 2005. "Faktor Zufall als Spielverderber: zur Prognostizierbarkeit von Fußballergebnissen – Wettmärkte als effizienter Informationslieferant," Research Notes 18, Deutsche Bank Research.
    5. Quitzau, Jörn & Vöpel, Henning, 2009. "Der Faktor Zufall im Fußball: Eine empirische Untersuchung für die Saison 2007/08," HWWI Research Papers 1-22, Hamburg Institute of International Economics (HWWI).
    6. Tobias J. Moskowitz, 2021. "Asset Pricing and Sports Betting," Journal of Finance, American Finance Association, vol. 76(6), pages 3153-3209, December.
    7. Sathya Ramesh & Ragib Mostofa & Marco Bornstein & John Dobelman, 2019. "Beating the House: Identifying Inefficiencies in Sports Betting Markets," Papers 1910.08858, arXiv.org, revised Oct 2019.
    8. Sean Wever & David Aadland, 2012. "Herd behaviour and underdogs in the NFL," Applied Economics Letters, Taylor & Francis Journals, vol. 19(1), pages 93-97, January.
    9. Klaassen, F.J.G.M. & Magnus, J.R., 2006. "Are Economic Agents Successful Optimizers? An Analysis Through Strategy in Tennis," Other publications TiSEM 73e12d86-8fe4-4a87-9181-7, Tilburg University, School of Economics and Management.
    10. Bryan Boulier & H. O. Stekler & Sarah Amundson, 2006. "Testing the efficiency of the National Football League betting market," Applied Economics, Taylor & Francis Journals, vol. 38(3), pages 279-284.
    11. Justin Cox & Adam L. Schwartz & Bonnie F. Van Ness & Robert A. Van Ness, 2021. "The Predictive Power of College Football Spreads: Regular Season Versus Bowl Games," Journal of Sports Economics, , vol. 22(3), pages 251-273, April.
    12. Rodney J Paul & Andrew Weinbach, 2012. "Wagering Preferences Of Nfl Bettors: Determinants Of Betting Volume," Journal of Prediction Markets, University of Buckingham Press, vol. 6(1), pages 42-55.
    13. Michael Sinkey & Trevon Logan, 2014. "Does the Hot Hand Drive the Market? Evidence from College Football Betting Markets," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 40(4), pages 583-603, September.
    14. Evan Osborne, 2001. "Efficient Markets? Don’t Bet on It," Journal of Sports Economics, , vol. 2(1), pages 50-61, February.
    15. Green, Colin & Lozano, Fernando & Simmons, Rob, 2015. "Rank-order tournaments, probability of winning and investing in talent: evidence from champions' league qualifying rules," National Institute Economic Review, National Institute of Economic and Social Research, vol. 232, pages 30-40, May.
    16. Tim Kuypers, 2000. "Information and efficiency: an empirical study of a fixed odds betting market," Applied Economics, Taylor & Francis Journals, vol. 32(11), pages 1353-1363.
    17. Daniel F. Stone & Jeremy Arkes, 2018. "March Madness? Underreaction To Hot And Cold Hands In Ncaa Basketball," Economic Inquiry, Western Economic Association International, vol. 56(3), pages 1724-1747, July.
    18. Yoon Tae Sung & Scott Tainsky, 2014. "The National Football League Wagering Market," Journal of Sports Economics, , vol. 15(4), pages 365-384, August.
    19. Ray Fair & John Oster, 2002. "College Football Rankings and Market Efficiency," Yale School of Management Working Papers amz2377, Yale School of Management, revised 01 Aug 2007.
    20. Ray Fair & John Oster, 2002. "College Football Rankings and Market Efficiency," Yale School of Management Working Papers amz2377, Yale School of Management, revised 01 Aug 2007.

    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:19:y:2018:i:8:p:1067-1092. 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.