IDEAS home Printed from https://ideas.repec.org/a/sae/jospec/v17y2016i7p748-762.html
   My bibliography  Save this article

Rank-Based Groupings and Decision Making

Author

Listed:
  • Quinn A. W. Keefer

Abstract

Rank-based groupings are uninformative signals of quality when the exact rank is known; therefore, they should be ignored in decision making. However, evidence is presented that rank-based groupings are used to determine the compensation of rookie players in the National Football League (NFL). The NFL draft, which largely determines rookie compensation, provides two signals of player quality, selection number, and round. However, the rounds are simply groupings based on selection number; thus, the rounds should not affect subsequent decisions. Sharp regression discontinuity design (RDD) estimates of discontinuities in rookie compensation at the round cutoffs are shown to be very large and robust. The first to second round discontinuity is −US$240,000 to −US$250,000, or 36% of the average salary of the first selection in the second round. The second to third round discontinuity is −US$60,000 to −US$70,000, or 17% of the average salary of the first selection in the third round. The results show rookie compensation, which comprises a large share of career earnings, is subject to heuristic thinking.

Suggested Citation

  • Quinn A. W. Keefer, 2016. "Rank-Based Groupings and Decision Making," Journal of Sports Economics, , vol. 17(7), pages 748-762, October.
    • Handle: RePEc:sae:jospec:v:17:y:2016:i:7:p:748-762
    DOI: 10.1177/1527002514541448
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1527002514541448
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1527002514541448?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. Dan Ariely & George Loewenstein & Drazen Prelec, 2003. ""Coherent Arbitrariness": Stable Demand Curves Without Stable Preferences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(1), pages 73-106.
    2. Quinn Andrew Wesley Keefer, 2013. "Compensation Discrimination for Defensive Players," Journal of Sports Economics, , vol. 14(1), pages 23-44, February.
    3. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    4. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    5. Nicola Lacetera & Devin G. Pope & Justin R. Sydnor, 2012. "Heuristic Thinking and Limited Attention in the Car Market," American Economic Review, American Economic Association, vol. 102(5), pages 2206-2236, August.
    6. Lee, David S. & Card, David, 2008. "Regression discontinuity inference with specification error," Journal of Econometrics, Elsevier, vol. 142(2), pages 655-674, February.
    7. Jens Ludwig & Douglas L. Miller, 2007. "Does Head Start Improve Children's Life Chances? Evidence from a Regression Discontinuity Design," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(1), pages 159-208.
    8. Austin Nichols, 2007. "Causal inference with observational data," Stata Journal, StataCorp LP, vol. 7(4), pages 507-541, December.
    9. Guido Imbens & Karthik Kalyanaraman, 2012. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 933-959.
    10. Lawrence M. Kahn, 1992. "The Effects of Race on Professional Football Players' Compensation," ILR Review, Cornell University, ILR School, vol. 45(2), pages 295-310, January.
    11. Weber, Martin & Camerer, Colin F., 1998. "The disposition effect in securities trading: an experimental analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 33(2), pages 167-184, January.
    12. 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.
    13. Lee, David S., 2008. "Randomized experiments from non-random selection in U.S. House elections," Journal of Econometrics, Elsevier, vol. 142(2), pages 675-697, February.
    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. 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.
    2. Quinn Keefer, 2015. "Performance Feedback Does Not Eliminate the Sunk-Cost Fallacy: Evidence From Professional Football," Journal of Labor Research, Springer, vol. 36(4), pages 409-426, December.
    3. Keefer, Quinn A.W., 2019. "Decision-maker beliefs and the sunk-cost fallacy: Major League Baseball’s final-offer salary arbitration and utilization," Journal of Economic Psychology, Elsevier, vol. 75(PB).
    4. Quinn A. W. Keefer, 2017. "The Sunk-Cost Fallacy in the National Football League," Journal of Sports Economics, , vol. 18(3), pages 282-297, April.
    5. Barry Reilly & Robert Witt, 2021. "The Effect of League Design on Spectator Attendance: A Regression Discontinuity Design Approach," Journal of Sports Economics, , vol. 22(5), pages 514-545, June.
    6. Quinn A. W. Keefer, 2019. "Do sunk costs affect expert decision making? Evidence from the within-game usage of NFL running backs," Empirical Economics, Springer, vol. 56(5), pages 1769-1796, May.
    7. Edyta Ropuszyńska-Surma & Magdalena Węglarz & Janusz Szwabiński, 2018. "Energy prosumers. Profiling the energy microgeneration market in Lower Silesia, Poland," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 28(1), pages 75-94.
    8. Xavier Romão & Esmeralda Paupério, 2016. "A framework to assess quality and uncertainty in disaster loss data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(2), pages 1077-1102, September.
    9. Quinn Andrew Wesley Keefer, 2021. "Did the 2011 Change to NFL Rookie Compensation Alter How Sunk Costs Affect Utilization?," Journal of Sports Economics, , vol. 22(4), pages 387-411, May.

    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. Mauricio Villamizar‐Villegas & Freddy A. Pinzon‐Puerto & Maria Alejandra Ruiz‐Sanchez, 2022. "A comprehensive history of regression discontinuity designs: An empirical survey of the last 60 years," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1130-1178, September.
    2. Markus Frölich & Martin Huber, 2019. "Including Covariates in the Regression Discontinuity Design," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(4), pages 736-748, October.
    3. Blaise Melly & Rafael Lalive, 2020. "Estimation, Inference, and Interpretation in the Regression Discontinuity Design," Diskussionsschriften dp2016, Universitaet Bern, Departement Volkswirtschaft.
    4. Yang He & Otávio Bartalotti, 2020. "Wild bootstrap for fuzzy regression discontinuity designs: obtaining robust bias-corrected confidence intervals [Using Maimonides’ rule to estimate the effect of class size on scholastic achievemen," The Econometrics Journal, Royal Economic Society, vol. 23(2), pages 211-231.
    5. Bartalotti Otávio, 2019. "Regression Discontinuity and Heteroskedasticity Robust Standard Errors: Evidence from a Fixed-Bandwidth Approximation," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-26, January.
    6. Matias D. Cattaneo & Rocío Titiunik, 2022. "Regression Discontinuity Designs," Annual Review of Economics, Annual Reviews, vol. 14(1), pages 821-851, August.
    7. Gamberoni, Elisa & Gradeva, Katerina & Weber, Sebastian, 2016. "Firm responses to employment subsidies: a regression discontinuity approach to the 2012 Spanish labour market reform," Working Paper Series 1970, European Central Bank.
    8. Quinn Keefer & Galib Rustamov, 2018. "Limited attention in residential energy markets: a regression discontinuity approach," Empirical Economics, Springer, vol. 55(3), pages 993-1017, November.
    9. Guido Imbens & Stefan Wager, 2019. "Optimized Regression Discontinuity Designs," The Review of Economics and Statistics, MIT Press, vol. 101(2), pages 264-278, May.
    10. Dong, Yingying, 2010. "Jumpy or Kinky? Regression Discontinuity without the Discontinuity," MPRA Paper 25461, University Library of Munich, Germany.
    11. Yoichi Arai & Hidehiko Ichimura, 2018. "Simultaneous selection of optimal bandwidths for the sharp regression discontinuity estimator," Quantitative Economics, Econometric Society, vol. 9(1), pages 441-482, March.
    12. Sebastian Calonico & Matias D Cattaneo & Max H Farrell, 2020. "Optimal bandwidth choice for robust bias-corrected inference in regression discontinuity designs [Econometric methods for program evaluation]," The Econometrics Journal, Royal Economic Society, vol. 23(2), pages 192-210.
    13. Christelis, Dimitris & Georgarakos, Dimitris & Sanz-de-Galdeano, Anna, 2020. "The impact of health insurance on stockholding: A regression discontinuity approach," Journal of Health Economics, Elsevier, vol. 69(C).
    14. Otávio Bartalotti, 2013. "Theory and Practice of Inference in Regression Discontinuity: A Fixed-Bandwidth Asymptotics Approach," Working Papers 1302, Tulane University, Department of Economics, revised Nov 2013.
    15. María F. Prada & Graciana Rucci & Sergio S. Urzúa, 2015. "The Effect of Mandated Child Care on Female Wages in Chile," NBER Working Papers 21080, National Bureau of Economic Research, Inc.
    16. Feng, Li & Figlio, David & Sass, Tim, 2018. "School accountability and teacher mobility," Journal of Urban Economics, Elsevier, vol. 103(C), pages 1-17.
    17. Sebastian Calonico & Matias D. Cattaneo & Max H. Farrell & Rocío Titiunik, 2019. "Regression Discontinuity Designs Using Covariates," The Review of Economics and Statistics, MIT Press, vol. 101(3), pages 442-451, July.
    18. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    19. Joaquín Artés & Ignacio Jurado, 2018. "Government fragmentation and fiscal deficits: a regression discontinuity approach," Public Choice, Springer, vol. 175(3), pages 367-391, June.
    20. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.

    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:17:y:2016:i:7:p:748-762. 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.