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Racers’ attractive looks, popularity, and performance: how do speedboat racers react to fans’ expectations?

Author

Listed:
  • Eiji Yamamura

    (Seinan Gakuin University)

  • Ryohei Hayashi

    (Kyoto Bunkyo University)

  • Yoshiro Tsutsui

    (Kochi University of Technology)

  • Fumio Ohtake

    (Osaka University)

Abstract

Using a large sample of individual-level records in Japan speedboat racing where men and women racers participate, we investigated how racers’ performance meets fans’ pre-race expectations. To control for endogeneity bias, we measured the order of racers’ attractiveness randomly determined in each race and then used this order as instrument for measuring racers’ popularity. The fixed-effects IV estimations revealed the following. (1) Racers who are more attractive than their competitors tend to be more popular even after controlling for the condition of the race, racer ability, and other characteristics. (2) More popular men show better performance in the race even if the reward does not vary according to popularity; such tendency is not observed for women. This study contributes a novel setting for determining the expectation-enhancing effects of physical attractiveness.

Suggested Citation

  • Eiji Yamamura & Ryohei Hayashi & Yoshiro Tsutsui & Fumio Ohtake, 2022. "Racers’ attractive looks, popularity, and performance: how do speedboat racers react to fans’ expectations?," The Japanese Economic Review, Springer, vol. 73(4), pages 597-623, October.
    • Handle: RePEc:spr:jecrev:v:73:y:2022:i:4:d:10.1007_s42973-020-00064-6
    DOI: 10.1007/s42973-020-00064-6
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    Cited by:

    1. Hamermesh, Daniel S. & Leigh, Andrew K., 2022. "“Beauty too rich for use”: Billionaires’ assets and attractiveness," Labour Economics, Elsevier, vol. 76(C).
    2. Guodong Guo & Brad R. Humphreys & Qiangchang Wang & Yang Zhou, 2023. "Attractive or Aggressive? A Face Recognition and Machine Learning Approach for Estimating Returns to Visual Appearance," Journal of Sports Economics, , vol. 24(6), pages 737-758, August.

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    More about this item

    Keywords

    Beauty; Race betting odds; Popularity; Performance; Gender difference; Tournaments;
    All these keywords.

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • M52 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Compensation and Compensation Methods and Their Effects

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