Tennis serve data may elude some as serves get too fast

Document Type

Article

Source of Publication

Econ Journal Watch

Publication Date

3-1-2019

Abstract

© 2019, Fraser Institute. All rights reserved. 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.

ISSN

1933-527X

Publisher

Fraser Institute

Volume

16

Issue

1

First Page

124

Last Page

129

Disciplines

Business

Keywords

Loss aversion, Sports, Risk

Scopus ID

85067314012

Indexed in Scopus

yes

Open Access

yes

Open Access Type

Bronze: This publication is openly available on the publisher’s website but without an open license

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