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Customer Discrimination and Ethnic Team Composition

Authors: Rinne, Ulf; Sonnabend, Hendrik; Wolters, Leonie;

Customer Discrimination and Ethnic Team Composition

Abstract

This paper examines the relationship between customer preferences and ethnic team composition in German professional soccer. Ethnic team composition is measured using facial recognition techniques, player names, and nationality. The study uses a difference-in-differences approach to show that after New Year's Eve 2015-16, third-division teams focusing on local and regional fans increased the share of native players by 6.4 to 12.2 percent compared to first- and second-division teams. Additionally, we find that in strongholds of the right-wing populist party AfD, a one-standard-deviation increase in the regional voting share for this party is associated with an increase in the share of native players by 3.1 to 3.6 percentage points. When examining the impacts of these changes in ethnic team composition on team productivity and economic success, we find that a higher share of (native) German players is neither associated with better performance outcomes nor higher attendance rates.

Keywords

J15, ddc:330, Z22, J44, ethnicity, labor market, soccer, J71, discrimination, facial recognition

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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