Abstract
While clubs overbid each other and pay enormous transfer fees and salaries for socalled superstars, other players receive comparably low remuneration. But what makes a soccer player a superstar? In the literature there are basically two competing theories of superstar formation proposed by Rosen (1981) and Adler (1985).1 Whereas Rosen (1981) stresses clearly observable talent superiority in order to explain the emergence of superstars, Adler (1985) maintains that besides talent, also past consumption and popularity influence stardom. The question to be addressed in this chapter is: Are outstanding soccer players Rosen or Adler stars? Using data on individual market values and a set of personal characteristics of all soccer players appearing in the first German league in the 2004/05 season for more than half an hour, I differentiate between Rosen’s and Adler’s theory of superstar formation. Running quantile regressions I find empirical evidence that variables associated to Adler’s theory contribute to the explanation of market value differentials in German soccer. Thus, not only investments in physical talent but also the cultivation of popularity is an adequate strategy for becoming a superstar.
MacDonald’s theory of superstar formation is not treated separately in this section, since he basically presents a dynamic version of Rosen’s superstar model (MacDonald, 1988).
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References
Scully (1995, p. 74) provides an extensive analysis of the distribution of player earnings in the US Major Leagues: The listed Gini-coefficients for the US Major Leagues vary between 0.22 (Hockey, 1978) and 0.51 (Baseball, 1990).
Unfortunately data about salaries, signing fees, bonuses, or transfer fees is not available in grand scale. In the 1999/00 season, salary data of players appearing in the German league was collected and published in a special edition of the magazine Sportbild (Lehmann, 2000; Schulze & Lehmann, 2005) and in the newspaper Welt am Sonntag (Kern & Süssmuth, 2005). However, these salaries do not include any bonuses, signing fees, or transfer fees.
I ran 1000 replications so that the estimates of standard errors are rather stable (see Koenker & Hallock, 2000).
However, we have to be cautious with the generalization of the interpretation, since it implies that a person who happens to be in a specific quantile of one conditional distribution will also find himself in the same quantile had his independent variables changed (Buchinsky, 1998).
A commonly given rule of thumb says that only VIFs above a value of 10 may be a reason of concern (see e.g. Williams, 2006).
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© 2007 Deutscher Universitäts-Verlag | GWV Fachverlage GmbH, Wiesbaden
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(2007). Talent, Past Consumption and/or Popularity — Are Outstanding German Soccer Players Rosen or Adler Stars?. In: The Economics of Superstars and Celebrities. Gabler. https://doi.org/10.1007/978-3-8350-5429-5_2
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DOI: https://doi.org/10.1007/978-3-8350-5429-5_2
Publisher Name: Gabler
Print ISBN: 978-3-8350-0849-6
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