Mapping discrimination in Europe through a field experiment in amateur sport

Gómez-González, Carlos; Nesseler, Cornel; Dietl, Helmut

doi:10.1057/s41599-021-00773-2

Cited by 17 publications

(18 citation statements)

References 70 publications

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“…For example, the data for the original unmodified Response is not available for [2] . Additionally, this data is missing for a few countries in [3] (see footnote for Table 1 ). The simplified response rate is available for all countries (see Fig.…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

“…Gomez-Gonzalez et al. [3] extend the study of [1] and reach amateur soccer clubs in 22 European countries. They contact the clubs in each country with either a native-sounding name or a name from one of the three largest foreign-sounding groups.…”

Section: Data Descriptionmentioning

confidence: 99%

“…All experiment received an ethical approval from the University of Zurich. [1] had the approval date 14.07.2017 (no IRB number available), [2] had the IRB #2019-053, and [3] had the IRB #2019–006.…”

Section: Ethics Statementmentioning

confidence: 99%

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Dataset for field experiments analyzing discrimination in amateur soccer

et al. 2022

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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.

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Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Section: Data Descriptionmentioning

confidence: 99%

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Dataset for field experiments analyzing discrimination in amateur soccer

et al. 2022

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“…To a large extent, it determines the development of national fitness. Community amateur sports facilities' spatial distribution and location must be reasonable and scientific [ 23 ]. Its location optimization has always been an important planning problem in most cities.…”

Section: Introductionmentioning

confidence: 99%

Design of Optimization Algorithm for Configuration of Amateur Sports Training Equipment in Smart City Community

Wan

Hong

2022

Computational Intelligence and Neuroscience

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Community amateur sports training equipment is necessary to ensure the development of national fitness activities. It is found that the design concept of community public sports space in China is not perfect, the structural layout is not reasonable, the stock space is not optimized, and the resource allocation is not balanced. In particular, there is a lack of indoor fitness facilities and sports venues in the community, and the people's “fitness where to go” is still a difficult problem. In the smart city construction, the resource integration and optimization of community amateur sports training facilities have also been further developed. Considering various influencing factors, this paper establishes a location model of community amateur sports training facilities with the least total cost and convenience. Aiming at the practical optimization problem with high complexity, an improved adaptive weight multiobjective particle swarm optimization (PSO) model is proposed. These parameters in the algorithm were adjusted dynamically, which balanced the overall search ability and partial improvement ability of the PSO algorithm and completed the optimal scheduling of community amateur sports training equipment configuration while ensuring the optimal global solution. Experimental results show that the algorithm’s efficiency and searching ability have been further promoted. It also has an excellent performance in solving the complex location problem of community amateur sports training facilities.

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“…Consequently, this paper applies a different methodological approach than the one that has often been used in the past. Instead of using survey data, we will use publicly available data from a field experiment approach in which individuals with foreign-sounding names stated a desire to join an amateur football club ( Gomez-Gonzalez et al, 2021 ; Nesseler et al, 2019 ). With this approach, we can test causal relationships between being invited to a training session and signing the respective e-mail with a foreign-sounding name.…”

Section: Introductionmentioning

confidence: 99%

(Not) being granted the right to belong—Amateur football clubs in Germany

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Gómez-González

Nesseler

et al. 2021

International Review for the Sociology of Sport

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Empirical studies show that first- and second-generation immigrants are less likely to be members of sports clubs than their non-immigrant peers. Common explanations are cultural differences and socioeconomic disadvantages. However, lower participation rates in amateur sport could be at least partly due to ethnic discrimination. Are minority ethnic groups granted the same right to belong as their non-immigrant peers? To answer this question, this paper uses publicly available data from a field experiment in which mock applications were sent out to over 1,600 football clubs in Germany. Having a foreign-sounding name significantly reduces the likelihood of being invited to participate. The paper concludes that amateur football clubs are not as permeable as they are often perceived to be. It claims that traditional explanations for lower participation rates of immigrants need to be revisited.

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Mapping discrimination in Europe through a field experiment in amateur sport

Cited by 17 publications

References 70 publications

Dataset for field experiments analyzing discrimination in amateur soccer

Dataset for field experiments analyzing discrimination in amateur soccer

Design of Optimization Algorithm for Configuration of Amateur Sports Training Equipment in Smart City Community

(Not) being granted the right to belong—Amateur football clubs in Germany

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