Income and International Soccer Performance
Abstract
This study empirically examines how income affects a country's performance in international soccer games. Previous studies suggest a positive link between income and soccer performance as well as an inverse U-shaped relationship. The paper contributes to the literature by using various estimation techniques such as a dynamic GMM panel data approach and explaining the mixed results of the existing empirical studies. The empirical results show that the cross-sectional analysis confirms the positive effect of income on soccer performance, while the panel data analysis supports the inverse U-shaped relationship. This evidence implies that high income countries perform well in international soccer, while low income countries perform poorly. On the other hand, as a country's income rises, soccer performance improves at a decreasing rate, and then gets worse beyond some level of income. The inverse U-shaped relationship is also supported by the split sample regression result that the positive effect is found in low income countries only.
Keywords
Full Text:
PDFReferences
Arellano, M. & Bond, S. (1991). Some tests of specification for panel data: Monte carlo evidence and an application to employment equations. Review of Economic Studies 58 (2), 277-297.
Baltagi, B. H. (2005). Econometric analysis of panel data. West Sussex, England: John Wiley & Sons.
Batarfi, M. & Reade, J. (2020). Why are We So Good At Football, and They So Bad? Institutions and National Footballing Performance. De Economist 169, 63-80.
Bond, S. & Meghir, C. (1994). Dynamic investment models and the firm's financial policy. Review of Economic Studies 61 (2), 197-222.
Foer, F. (2004). How Soccer Explains the World: An Unlikely Theory of Globalization. New York: HarperCollins.
Foer, F. (2006). How governments nurture soccer. http://www.newrepublic.com/article/how-governments-nurture-soccer. Accessed: 2014-11-06.
Gelade, G. A. & Dobson, P. (2007). Predicting the comparative strengths of national football teams. Social Science Quarterly 88 (1), 244-258.
Hansen, L. P. (1982). Large sample properties of generalized method of moments estimators. Econometrica 50 (4), 1029-1054.
Hausman, J. A. (1978). Specification tests in econometrics. Econometrica 46(6), 1251-1271.
Herold, D. M., Jayaraman, N., & Narayanaswamy, C. R. (2006). What is the relationship between organizational slack and innovation? Journal of Managerial Issues 18 (3), 372-392.
Hoffmann, R., Ging, L. C., Matheson, V., & Ramasamy, B. (2006). International women's football and gender inequality. Applied Economics Letters 13 (15), 999-1001.
Hoffmann, R., Ging, L. C., & Ramasamy, B. (2002a). Public policy and Olympic success. Applied Economics Letters 9 (8), 545-548.
Hoffmann, R., Ging, L. C., & Ramasamy, B. (2002b). The socio-economic determinants of international soccer performance. Journal of Applied Economics 5 (2), 253-272.
Houston, R. G. & Wilson, D. P. (2002). Income, leisure and proficiency: An economic study of football performance. Applied Economics Letters 9 (14), 939-943.
Leeds, M. A. & Leeds, E. M. (2009). International soccer success and national institutions. Journal of Sports Economics 10 (4), 369-390.
Luiz, J. M. & Fadal, R. (2011). An economic analysis of sports performance in Africa. International Journal of Social Economics 38 (10), 869-883.
Macmillan, P. & Smith, I. (2007). Explaining international soccer rankings. Journal of Sports Economics 8 (2), 202-213.
Sargan, J. D. (1958). The estimation of economic relationships using instrumental variables. Econometrica 26 (3), 393-415.
Wan, K-M., Ng, K-U., & Lin, T-H. (2020). The Political Economy of Football: Democracy, Income Inequality, and Men’s National Football Performance. Social Indicators Research 151, 981-1013.
Wooldridge, J. M. (2002). Econometric Analysis of Cross Section and Panel Data. Cambridge: MIT Press.
Yamamura, E. (2009). Technology transfer and convergence of performance: An economic study of FIFA football ranking. Applied Economics Letters 16 (3), 261-266.
Yamamura, E. (2012). Effect of linguistic heterogeneity on technology transfer: An economic study of FIFA football rankings. Atlantic Economic Journal 40 (1), 85-99.
Refbacks
- There are currently no refbacks.