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Brand Teams And Distribution Of Wealth In Brazilian State Championships


  • Thadeu Gasparetto

    () (Universidad de Vigo)

  • Carlos Fernandez-Jardon

    () (National Research University Higher School of Economics)

  • Angel Barajas

    () (National Research University Higher School of Economics)


The paper contributes to explain an unexplored competition that is the Brazilian State Championships. How it is organized and the financial features of three championships are described. The aim of the paper is to discover if the presence of "Brand-teams" in a competition increases the income of all participating teams and if the type of championship conditions the effect of Brand Team on revenues of all teams. As the present study aims to be a pioneer in economic research on Brazilian State Championships, it has an exploratory character. The study uses an equations system to estimate for testing the hypothesis. The estimation method is 3SLS to delete the possible endogeneity of the variables. There have been studied 400 matches played by 48 teams from Mineiro, Paulista and Carioca Championships in season 2013. The structure of the Brazilian State Championship, with the participation of brand-teams, creates an income redistribution effect. The features of the visiting team imply an increase in attendance. This effect is moderated by the type of Championship. The Championship structure generates an additional increase of the revenue. They increase according to the phase in which the competition develops. This paper contributes to introduce the Brazilian State Championships. Moreover, it comes to justify the participation of brand-teams in order to help smallest teams to increase their revenues. The paper shows that the organization of some Championships has more beneficial effects than others

Suggested Citation

  • Thadeu Gasparetto & Carlos Fernandez-Jardon & Angel Barajas, 2014. "Brand Teams And Distribution Of Wealth In Brazilian State Championships," HSE Working papers WP BRP 30/MAN/2014, National Research University Higher School of Economics.
  • Handle: RePEc:hig:wpaper:30man2014

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    References listed on IDEAS

    1. Leif Brandes & Egon Franck & Stephan Nüesch, 2008. "Local Heroes and Superstars," Journal of Sports Economics, , vol. 9(3), pages 266-286, June.
    2. Young Lee & Rodney Fort, 2008. "Attendance and the Uncertainty-of-Outcome Hypothesis in Baseball," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 33(4), pages 281-295, December.
    3. Synthia Kariny Silva de Santana & Alexandre Stamford da Silva, 2009. "The determinants of demand in football matches during the 2007 Brazilian Championship," Working Papers 0906, International Association of Sports Economists;North American Association of Sports Economists.
    4. Biner, Burhan, 2014. "Parity in professional sports when revenues are maximized," Economic Modelling, Elsevier, vol. 40(C), pages 12-20.
    5. da Silva, Aneirson Francisco & Marins, Fernando Augusto Silva, 2014. "A Fuzzy Goal Programming model for solving aggregate production-planning problems under uncertainty: A case study in a Brazilian sugar mill," Energy Economics, Elsevier, vol. 45(C), pages 196-204.
    6. Kim, Kyeongheui & Park, Jongwon & Kim, Jungkeun, 2014. "Consumer–brand relationship quality: When and how it helps brand extensions," Journal of Business Research, Elsevier, vol. 67(4), pages 591-597.
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    More about this item


    Competition structure; redistribution effect; Brazilian football; State Championships; brand-teams.;

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • E25 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Aggregate Factor Income Distribution

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