Player Migration and Soccer Performance
The aim of this study is to examine the relationship between migrating soccer players and the annual ranking of the national teams according to the World Football Elo Rating. The sample includes annual data for 243 countries over the period 1994–2018. Migration is captured with the number of migrati...
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doaj-6c41061788cf4f71bc855cd123ac7ae62020-11-24T22:01:16ZengFrontiers Media S.A.Frontiers in Psychology1664-10782019-03-011010.3389/fpsyg.2019.00616443607Player Migration and Soccer PerformanceCarlos Lago-Peñas0Santiago Lago-Peñas1Ignacio Lago2Faculty of Education and Sport Sciences, Governance and Economics Research Network, University of Vigo, Pontevedra, SpainFaculty of Business and Tourism Studies, Governance and Economics Research Network, University of Vigo, Ourense, SpainDepartment of Political and Social Sciences, Governance and Economics Research Network, Universitat Pompeu Fabra, Barcelona, SpainThe aim of this study is to examine the relationship between migrating soccer players and the annual ranking of the national teams according to the World Football Elo Rating. The sample includes annual data for 243 countries over the period 1994–2018. Migration is captured with the number of migrating players by country in the “big-five” leagues. The causal relationship between the two variables is examined by using Granger causality test. Four control variables are included: the political regime, per capita income, population, and regional soccer confederations. It was hypothesized that (i) the better the ranking of the national teams in the Elo rating, the higher the number of migrating players in the “big-five” leagues (shop-window hypotheses) and that (ii) while the shop-window effect takes place in the short-run, the annual Elo rating of a national team is positively affected by expatriate players in the medium or long-run, but not in the short-run (blending hypotheses). The results shed light on two crucial issues. First, causality mainly goes from national soccer performance to migrating soccer players rather than the other way around. Second, the timing of the two effects is quite different. While those players giving an outstanding performance when their national team is doing well are immediately bought by clubs from more highly ranked leagues (the shop-window effect), it takes at least 4 years for the additional skills acquired by migrated players to have a positive effect on the national soccer performance (the blending effect).https://www.frontiersin.org/article/10.3389/fpsyg.2019.00616/fullfootball associationplayer migrationnation’s soccer performanceendogeneityglobalizationperformance analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Carlos Lago-Peñas Santiago Lago-Peñas Ignacio Lago |
spellingShingle |
Carlos Lago-Peñas Santiago Lago-Peñas Ignacio Lago Player Migration and Soccer Performance Frontiers in Psychology football association player migration nation’s soccer performance endogeneity globalization performance analysis |
author_facet |
Carlos Lago-Peñas Santiago Lago-Peñas Ignacio Lago |
author_sort |
Carlos Lago-Peñas |
title |
Player Migration and Soccer Performance |
title_short |
Player Migration and Soccer Performance |
title_full |
Player Migration and Soccer Performance |
title_fullStr |
Player Migration and Soccer Performance |
title_full_unstemmed |
Player Migration and Soccer Performance |
title_sort |
player migration and soccer performance |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Psychology |
issn |
1664-1078 |
publishDate |
2019-03-01 |
description |
The aim of this study is to examine the relationship between migrating soccer players and the annual ranking of the national teams according to the World Football Elo Rating. The sample includes annual data for 243 countries over the period 1994–2018. Migration is captured with the number of migrating players by country in the “big-five” leagues. The causal relationship between the two variables is examined by using Granger causality test. Four control variables are included: the political regime, per capita income, population, and regional soccer confederations. It was hypothesized that (i) the better the ranking of the national teams in the Elo rating, the higher the number of migrating players in the “big-five” leagues (shop-window hypotheses) and that (ii) while the shop-window effect takes place in the short-run, the annual Elo rating of a national team is positively affected by expatriate players in the medium or long-run, but not in the short-run (blending hypotheses). The results shed light on two crucial issues. First, causality mainly goes from national soccer performance to migrating soccer players rather than the other way around. Second, the timing of the two effects is quite different. While those players giving an outstanding performance when their national team is doing well are immediately bought by clubs from more highly ranked leagues (the shop-window effect), it takes at least 4 years for the additional skills acquired by migrated players to have a positive effect on the national soccer performance (the blending effect). |
topic |
football association player migration nation’s soccer performance endogeneity globalization performance analysis |
url |
https://www.frontiersin.org/article/10.3389/fpsyg.2019.00616/full |
work_keys_str_mv |
AT carloslagopenas playermigrationandsoccerperformance AT santiagolagopenas playermigrationandsoccerperformance AT ignaciolago playermigrationandsoccerperformance |
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1725840531632685056 |