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Does March Madness Lead to Irrational Exuberance in the NBA Draft? High-Value Employee Selection Decisions and Decision-Making Bias

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  • Casey Ichniowski
  • Anne E. Preston

Abstract

Using a detailed personally-assembled data set on the performance of collegiate and professional basketball players over the 1997-2010 period, we conduct a very direct test of two questions. Does performance in the NCAA "March Madness" college basketball tournament affect NBA teams' draft decisions? If so, is this effect the result of decision making biases which overweight player performance in these high-visibility college basketball games or rational judgments of how the players later perform in the NBA? The data provide very clear answers to these two questions. First, unexpected March Madness performance, in terms of unexpected team wins and unexpected player scoring, affects draft decisions. This result persists even when models control for a direct measure of the drafted players' unobserved counterfactual - various mock draft rankings of where the players were likely to be drafted just prior to any participation in the March Madness tournament. Second, NBA personnel who are making these draft decisions are certainly not irrationally overweighting this MM information. If anything, the unexpected performance in the March Madness tournament deserves more weight than it gets in the draft decisions. Finally, there is no evidence that players who played in the March Madness tournament comprise a pool of players with a lower variance in future NBA performance and who are therefore less likely to become NBA superstars than are players who do not play in MM. Players with positive draft bumps due to unexpectedly good performance in the March Madness tournament are in fact more likely than those without bumps from March Madness participation to become one of the rare NBA superstars in the league.

Suggested Citation

  • Casey Ichniowski & Anne E. Preston, 2012. "Does March Madness Lead to Irrational Exuberance in the NBA Draft? High-Value Employee Selection Decisions and Decision-Making Bias," NBER Working Papers 17928, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:17928
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    1. Camerer, Colin F. & Weber, Roberto A., 1999. "The econometrics and behavioral economics of escalation of commitment: a re-examination of Staw and Hoang's NBA data," Journal of Economic Behavior & Organization, Elsevier, vol. 39(1), pages 59-82, May.
    2. Wallace Hendricks & Lawrence DeBrock & Roger Koenker, 2003. "Uncertainty, Hiring, and Subsequent Performance: The NFL Draft," Journal of Labor Economics, University of Chicago Press, vol. 21(4), pages 857-886, October.
    3. David Berri & Rob Simmons, 2011. "Catching a draft: on the process of selecting quarterbacks in the National Football League amateur draft," Journal of Productivity Analysis, Springer, vol. 35(1), pages 37-49, February.
    4. Dennis Coates & Babatunde Oguntimein, 2010. "The Length and Success of NBA Careers: Does College Production Predict Professional Outcomes?," International Journal of Sport Finance, Fitness Information Technology, vol. 5(1), pages 4-26, February.
    5. Edward P Lazear, 1998. "Hiring Risky Workers," Palgrave Macmillan Books, in: Isao Ohashi & Toshiaki Tachibanaki (ed.), Internal Labour Markets, Incentives and Employment, chapter 7, pages 143-158, Palgrave Macmillan.
    6. David Berri & Stacey Brook & Aju Fenn, 2011. "From college to the pros: predicting the NBA amateur player draft," Journal of Productivity Analysis, Springer, vol. 35(1), pages 25-35, February.
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    Cited by:

    1. Bastian Kordyaka & Mario Lackner & Hendrik Sonnabend, 2022. "Can too many cooks spoil the broth? Coordination costs, fatigue, and performance in high‐intensity tasks," Southern Economic Journal, John Wiley & Sons, vol. 88(3), pages 1065-1085, January.
    2. Richard J. Paulsen, 2022. "Peer effects and human capital accumulation: Time spent in college and productivity in the National Basketball Association," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(8), pages 3611-3619, December.
    3. Daniel H. Weinberg, 2013. "Talent Recruitment and Firm Performance: The Business of Major League Sports," Working Papers 13-54, Center for Economic Studies, U.S. Census Bureau, revised Feb 2014.
    4. Tobias Berger & Frank Daumann, 2021. "Anchoring bias in the evaluation of basketball players: A closer look at NBA draft decision‐making," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(5), pages 1248-1262, July.
    5. Daniel H. Weinberg, 2013. "Talent Recruitment and Firm Performance: The Business of Major League Sports," Working Papers 13-54r, Center for Economic Studies, U.S. Census Bureau, revised Feb 2014.
    6. Brad R. Humphreys & Yulia Chikish & Peter von Allmen, 2024. "Should I Stay or Should I Go Pro? Early NFL Draft Entry by NCAA FBS Underclassmen," Journal of Sports Economics, , vol. 25(3), pages 346-368, April.
    7. Daniel H. Weinberg, 2016. "Talent Recruitment and Firm Performance," Journal of Sports Economics, , vol. 17(8), pages 832-862, December.

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    JEL classification:

    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers

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