Effect of Linguistic Heterogeneity on Technology Transfer: An Economic Study of FIFA Football Rankings

Yamamura, Eiji

doi:10.1007/s11293-011-9295-x

Cited by 14 publications

(22 citation statements)

References 20 publications

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“…This data has been provided by Benjamin Strack-Zimmermann. Second, we control for countries' historical performance in international football competitions, measured by the number of World Cup appearances, following previous literature (Houston and Wilson, 2002;Yamamura, 2009Yamamura, , 2012. 19 This data is taken from FIFA.…”

Section: Variables and Datamentioning

confidence: 99%

“…Using panel data on the participation to semifinals and finals in the World Cup and the European Championship from 1978until 2006, Frick (2009 finds that the migration of players to the financially rewarding leagues in Western Europe does not improve national team performance. Yamamura (2009Yamamura ( , 2012 provides empirical evidence on the existence of football technology spillovers from developed to developing countries. The author considers the average world ranking points for the best leagues, i.e.…”

Section: Introductionmentioning

confidence: 99%

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When drains and gains coincide: Migration and international football performance

2013

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► We analyze the impact of football players' migration on national team performance. ► We provide a theoretical model and empirical evidence. ► Migration of national team players improves international football performance. ► This result holds particularly for countries with lower quality football clubs. a b s t r a c tWe analyze the impact of human capital formation through migration on performance by studying the impact of football players' migration to foreign clubs on their origin countries' international football performance. In our model, migration to foreign clubs allows players to improve their skills. Its impact on national team performance is positive and increasing with the difference in quality between foreign and home country clubs. To test this prediction, we have collected information on the club of employment of national team players for most countries in the world. We have constructed an original migration index, weighing each emigrant player by the quality of the foreign club employing him. We find strong and robust support for the theoretical prediction that migration of national team players improves international football performance, particularly for countries with lower quality football clubs.

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Section: Variables and Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

When drains and gains coincide: Migration and international football performance

2013

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“…Following previous literature (Houston and Wilson, 2002;Yamamura, 2008Yamamura, , 2009), we use the number of World Cup appearances as measure of historical performance.…”

Section: Variables and Datamentioning

confidence: 99%

“…Recent empirical contributions have found new explanatory factors, such as linguistic heterogeneity (Yamamura, 2008), national institutions (Leeds and Leeds, 2009) and the level of health expenditures as a percentage of national income (Luiz and Fadal, 2010).…”

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confidence: 99%

When Drains and Gains Coincide: Migration and International Football Performance

2011

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We examine the impact of football player migration on their origin countries" international football performance. In our model, players acquire superior skills in foreign clubs, so emigration of players improves national team performance. We have collected information on the club of employment of national team players for most countries in the world. We have constructed an original migration index, weighting each emigrant player by the quality of his club of employment. We find strong and robust support for the theoretical prediction that migration of players to foreign leagues improves their origin countries" international football performance. JEL Classification: J61, L83

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“…He concludes that the improved proficiencies of developing countries can be attributed to technology transfer and local information spillover. In a similar vein, Yamamura () uses FIFA world ranking points to examine how linguistic heterogeneity impacts technology transfers from the most developed countries, finding that it has a detrimental effect in the case of developed countries but not in that of developing countries. Binder and Findlay () analyze the effects of the Bosman ruling on national and club teams in Europe. To our knowledge, this is the first paper that uses the Elo rating to measure the national team strength.…”

Section: Literature Reviewmentioning

confidence: 99%

The Determinants of International Football Success: A Panel Data Analysis of the Elo Rating*

Gásquez

Royuela

2016

Social Science Quarterly

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Objectives. This article investigates the determinants of football 1 success at the international level. We introduce three innovations as (a) we apply the model developed by Bernard and Busse (2004) to football, (b) we consider a wide panel of countries over a 33-year period, and (c) we supplement FIFA's classification with the Elo rating system. Methods. We estimate a dynamic panel model using Blundell and Bond's (1998) system-generalized method of moments (GMM) estimator. Results. The results are robust to several sensitivity analyses, showing that economics, demographics, weather, geography, and football institutions are good indicators of football success at the international level. Besides, the Elo rating is a better alternative indicator than the FIFA ranking. Conclusions. The Elo rating may be used in the academic works that wish to analyze football success over a long period of time.

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Effect of Linguistic Heterogeneity on Technology Transfer: An Economic Study of FIFA Football Rankings

Cited by 14 publications

References 20 publications

When drains and gains coincide: Migration and international football performance

When drains and gains coincide: Migration and international football performance

When Drains and Gains Coincide: Migration and International Football Performance

The Determinants of International Football Success: A Panel Data Analysis of the Elo Rating*

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