Tennis Serve Data May Elude Some as Serves Get Too Fast

Nejat Anbarci (), Kerim Arin and Christina Zenker

Econ Journal Watch, 2019, vol. 16, issue 1, 124–129

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.

Keywords: loss aversion; sports; risk (search for similar items in EconPapers)
JEL-codes: D81 L67 Z31 (search for similar items in EconPapers)
Date: 2019
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