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Peer Effects and Individual Performance

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  • Wen-Jhan Jane

Abstract

This article addresses the issue of peer effects on a swimmer’s performance. The National Database of Student Athletes in Taiwan from 2008 to 2010 is employed. The results show that a swimmer performs better when his or her competitors are faster. The evidence shows that peer effects are positive. As to the relative quality of swimmers in a competition, dispersed-quality competitors make a swimmer faster. The evidence also shows that older and taller boys swim faster. The regressions of the Heckman selection model support these conclusions.

Suggested Citation

  • Wen-Jhan Jane, 2015. "Peer Effects and Individual Performance," Journal of Sports Economics, , vol. 16(5), pages 531-539, June.
    • Handle: RePEc:sae:jospec:v:16:y:2015:i:5:p:531-539
    DOI: 10.1177/1527002514521429
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    References listed on IDEAS

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    Cited by:

    1. Hikaru Kawarazaki & Minhaj Mahmud & Yasuyuki Sawada & Mai Seki, 2023. "Haste Makes No Waste: Positive Peer Effects of Classroom Speed Competition on Learning," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(4), pages 755-772, August.
    2. Ashby, Nathan J., 2023. "An examination of peer effects using high school competition realignments," Journal of Economic Behavior & Organization, Elsevier, vol. 206(C), pages 122-135.
    3. Sonnabend, Hendrik & Lackner, Mario, 2020. "Gender differences in overconfidence and decision making in high-stakes competitions: evidence from freediving contests," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224595, Verein für Socialpolitik / German Economic Association.
    4. 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.
    5. Candon Johnson & Robert Schultz & Joshua C. Hall, 2020. "Specialization and Performance: Evidence from NCAA 4 × 400 m Relay Times," Economies, MDPI, vol. 8(4), pages 1-7, November.
    6. Mario Lackner, 2016. "Teams as Superstars: Effort and Risk Taking in Rank-Order Tournaments for Women and Men," Economics working papers 2016-13, Department of Economics, Johannes Kepler University Linz, Austria.
    7. Mariia Molodchik & Sofiia Paklina & Petr Parshakov, 2021. "Peer Effects on Individual Performance in a Team Sport," Journal of Sports Economics, , vol. 22(5), pages 571-586, June.
    8. Schmidt, Martin B., 2021. "Risk and uncertainty in team building: Evidence from a professional basketball market," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 735-753.
    9. Brady, Ryan R. & Insler, Michael A., 2019. "Order of play advantage in sequential tournaments: Evidence from randomized settings in professional golf," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 79(C), pages 79-92.
    10. W. David Allen, 2021. "Work Environment and Worker Performance: A View from the Goal Crease," Journal of Labor Research, Springer, vol. 42(3), pages 418-448, December.

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