Dataset for field experiments analyzing discrimination in amateur soccer

Cornel Nesseler; Carlos Gomez-Gonzalez; Helmut Dietl; Christoph Halser

doi:10.1016/j.dib.2021.107751

Dataset for field experiments analyzing discrimination in amateur soccer

Data Brief. 2021 Dec 23:40:107751. doi: 10.1016/j.dib.2021.107751. eCollection 2022 Feb.

Authors

Cornel Nesseler¹, Carlos Gomez-Gonzalez², Helmut Dietl², Christoph Halser¹

Affiliations

¹ Norwegian University of Science and Technology, Trondheim, Norway.
² University of Zurich, Zurich, Switzerland.

Abstract

This paper presents data of field experiments that analyze discrimination in amateur soccer. The studies created fake accounts and asked amateur soccer coaches to come for a trial practice. The fake accounts had either a native- or a foreign-sounding name. The dataset is based on three published studies that analyzed discrimination in 23 countries. The dataset contains 24,915 observations and several variables that are interesting for further research. This data can be used to compare discrimination in amateur soccer with discrimination in diverse fields, such as migration, economics, or political science. For a more detailed discussion, please see the published articles.

Keywords: Amateur soccer; Discrimination; Experiments; Integration; Migration; RCT; Social activities; Sport science.