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Tennis Serve Data May Elude Some as Serves Get Too Fast

Author

Listed:
  • Nejat Anbarci
  • K. Peren Arin
  • Christina Zenker

Abstract

In our response to Krawczyk (2019), we emphasize the following points: (1) Our theoretical model incorporates a Tullock contest function which is the most commonly used tool in modelling any strategic contest, and controls for both the server’s and the receiver’s effort. (2) The panel nature of our data set allows us to control for unobserved heterogeneity at both the player and the match level and minimizes the omitted variable bias. (3) There is a difference between ‘risk’ and ‘effort.’ (4) There is a strong empirical pattern in our dataset which is robust to the use of different methodologies whether it is linear or semi-parametric. (5) Finally, given that Pope and Schweitzer (2011) was published in the top journal in the field and received a considerable number of citations, it should not come as a surprise that we apply their theoretical and empirical framework to tennis, which, like golf, has a well-defined reference point.

Suggested Citation

  • Nejat Anbarci & K. Peren Arin & Christina Zenker, 2019. "Tennis Serve Data May Elude Some as Serves Get Too Fast," Econ Journal Watch, Econ Journal Watch, vol. 16(1), pages 124–129-1, March.
    • Handle: RePEc:ejw:journl:v:16:y:2019:i:1:p:124-129
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    References listed on IDEAS

    as
    1. Graham Mallard, 2016. "Loss aversion and decision fatigue at the Wimbledon tennis championship," International Journal of Behavioural Accounting and Finance, Inderscience Enterprises Ltd, vol. 6(1), pages 70-91.
    2. Anbarci, Nejat & Arin, K. Peren & Kuhlenkasper, Torben & Zenker, Christina, 2018. "Revisiting loss aversion: Evidence from professional tennis," Journal of Economic Behavior & Organization, Elsevier, vol. 153(C), pages 1-18.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    loss aversion; sports; risk;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • L67 - Industrial Organization - - Industry Studies: Manufacturing - - - Other Consumer Nondurables: Clothing, Textiles, Shoes, and Leather Goods; Household Goods; Sports Equipment
    • Z31 - Other Special Topics - - Tourism Economics - - - Industry Studies

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