IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/90314.html
   My bibliography  Save this paper

The impact of NFL kickoff rule changes on player injuries: Forgoing excitement to reduce injuries?

Author

Listed:
  • Richardson, Zachary
  • Lindrooth, Richard

Abstract

Recognizing the increased danger during kickoff returns, the National Football League and National Collegiate Athletic Association changed rules aimed to reduce player injuries. Using a two-stage model, we examined the impact of rule changes on kickoff returns to the rate of player injuries. We estimated the impact of the changes on the number of kickoff returns using a difference-in-difference approach; from these estimates we created an instrumental variable measuring the local average treatment effect of the NFL rule change on player injuries. Our findings suggest that moving the kickoff location decreased both the likelihood of kickoff returns and player injuries.

Suggested Citation

  • Richardson, Zachary & Lindrooth, Richard, 2018. "The impact of NFL kickoff rule changes on player injuries: Forgoing excitement to reduce injuries?," MPRA Paper 90314, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:90314
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/90314/1/MPRA_paper_90314.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Terza, Joseph V. & Basu, Anirban & Rathouz, Paul J., 2008. "Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling," Journal of Health Economics, Elsevier, vol. 27(3), pages 531-543, May.
    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. Fernando Rios-Avila & Gustavo Canavire-Bacarreza, 2018. "Standard-error correction in two-stage optimization models: A quasi–maximum likelihood estimation approach," Stata Journal, StataCorp LP, vol. 18(1), pages 206-222, March.
    2. Bian Liu & Serena Zhan & Karen M. Wilson & Madhu Mazumdar & Lihua Li, 2021. "The Influence of Increasing Levels of Provider-Patient Discussion on Quit Behavior: An Instrumental Variable Analysis of a National Survey," IJERPH, MDPI, vol. 18(9), pages 1-11, April.
    3. Anjani Kumar & Ashok K. Mishra & Sunil Saroj & Vinay K. Sonkar & Ganesh Thapa & Pramod K. Joshi, 2020. "Food safety measures and food security of smallholder dairy farmers: Empirical evidence from Bihar, India," Agribusiness, John Wiley & Sons, Ltd., vol. 36(3), pages 363-384, June.
    4. Meyer, Sophie-Charlotte, 2016. "Maternal employment and childhood overweight in Germany," Economics & Human Biology, Elsevier, vol. 23(C), pages 84-102.
    5. Trottmann, Maria & Zweifel, Peter & Beck, Konstantin, 2012. "Supply-side and demand-side cost sharing in deregulated social health insurance: Which is more effective?," Journal of Health Economics, Elsevier, vol. 31(1), pages 231-242.
    6. Austin L. Wright, 2016. "Economic Shocks and Rebel," HiCN Working Papers 232, Households in Conflict Network.
    7. Judite Gonçalves & France Weaver, 2017. "Effects of formal home care on hospitalizations and doctor visits," International Journal of Health Economics and Management, Springer, vol. 17(2), pages 203-233, June.
    8. Caroline Krafft, 2020. "Why is fertility on the rise in Egypt? The role of women’s employment opportunities," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(4), pages 1173-1218, October.
    9. Costa-Font, Joan & Frank, Richard G. & Swartz, Katherine, 2019. "Access to long term care after a wealth shock: Evidence from the housing bubble and burst," The Journal of the Economics of Ageing, Elsevier, vol. 13(C), pages 103-110.
    10. Jing Dong & Fabrice Smieliauskas & R. Tamara Konetzka, 2019. "Effects of long-term care insurance on financial well-being," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 44(2), pages 277-302, April.
    11. Bertoli, Simone & Marchetta, Francesca, 2015. "Bringing It All Back Home – Return Migration and Fertility Choices," World Development, Elsevier, vol. 65(C), pages 27-40.
    12. Yokoo, Hide-Fumi & Arimura, Toshi H. & Chattopadhyay, Mriduchhanda & Katayama, Hajime, 2023. "Subjective risk belief function in the field: Evidence from cooking fuel choices and health in India," Journal of Development Economics, Elsevier, vol. 161(C).
    13. Gregory, Christian & Deb, Partha, 2016. "Who Benefits Most from SNAP?," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236648, Agricultural and Applied Economics Association.
    14. Eibich, Peter & Goldzahl, Léontine, 2021. "Does retirement affect secondary preventive care use? Evidence from breast cancer screening," Economics & Human Biology, Elsevier, vol. 43(C).
    15. Artjoms Ivlevs & Roswitha M. King, 2014. "Emigration, remittances and corruption experience of those staying behind," Working Papers 20141411, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    16. Nshakira-Rukundo, Emmanuel & Mussa, Essa Chanie & Gerber, Nicolas & von Braun, Joachim, 2020. "Impact of voluntary community-based health insurance on child stunting: Evidence from rural Uganda," Social Science & Medicine, Elsevier, vol. 245(C).
    17. Dusanee Kesavayuth & Robert E. Rosenman & Vasileios Zikos, 2016. "Retirement, Personality, And Well-Being," Economic Inquiry, Western Economic Association International, vol. 54(2), pages 733-750, April.
    18. Markus Frölich & Martin Huber, 2017. "Direct and indirect treatment effects–causal chains and mediation analysis with instrumental variables," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(5), pages 1645-1666, November.
    19. Ji Yan & Sally Brocksen, 2013. "Adolescent risk perception, substance use, and educational attainment," Journal of Risk Research, Taylor & Francis Journals, vol. 16(8), pages 1037-1055, September.
    20. Manuel Denzer, 2019. "Estimating Causal Effects in Binary Response Models with Binary Endogenous Explanatory Variables - A Comparison of Possible Estimators," Working Papers 1916, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.

    More about this item

    Keywords

    NFL; NCAA; Football; Policy Analysis; Health Economics; Health Services Research; Rule Changes; Concussions; Injuries; Player Injuries;
    All these keywords.

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • I10 - Health, Education, and Welfare - - Health - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:90314. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.