nep-spo New Economics Papers
on Sports and Economics
Issue of 2018‒11‒05
five papers chosen by
Humberto Barreto
DePauw University

  1. The Relationship Between Footballer and Head Coach Transfer News and Stock Prices of Sport Clubs By FARUK DAYI; Ibrahim Yasar GOK; Tolga ULUSOY
  2. eSports: Profile of Participants, Complementarity with Sports and its Perception as Sport. Evidence From Sports Video Games By Jaume Garcia-Villar
  3. Predicting Match Outcomes in Football by an Ordered Forest Estimator By Goller, Daniel; Knaus, Michael C.; Lechner, Michael; Okasa, Gabriel
  4. Globalization and the Concentration of Talent By Schetter, Ulrich; Tejada, Oriol
  5. The impact of role models on women's self-selection in competitive environments By Meier, Kristina; Niessen-Ruenzi, Alexandra; Ruenzi, Stefan

    Abstract: Sportive performances of sports clubs are closely pursued by investors and the effect of match results on stock prices are widely investigated in the literature. On the other hand, whatever the results of the matches might be, the football players and head coaches affect the game by their physical performances, abilities, intelligence and strategic thinking characteristics. Football players and head coaches are the most important assets of the clubs that they work for. Nevertheless, the impact of transfer news of football players and head coaches on the clubs' stock prices have rarely been studied. We aimed to analyze the effects of transfer news of Trabzonspor (TSPOR: Istanbul), one of the four sports clubs traded in Borsa Istanbul, on stock prices within the scope of this study. The transfers exceeding a capital of 1 million Euros during the period of 2013-2017 were investigated by event study analysis. By analyzing 47 events related to football players and 15 events to head coaches, it was found that the contract news of head coaches had more prominent effects on returns than that of footballers'.
    Keywords: Sport clubs, transfer news, stock prices, event study analysis
    JEL: L83 G12 G14
    Date: 2018–07
  2. By: Jaume Garcia-Villar
    Abstract: Research question: This study investigates three issues associated to the growing industry of eSports: the picture of participants in eSports and the correlates of the intensity of this participation; the complementary/substitutability relationship between eSports and traditional sports; and the perception of eSports as sport by the population. Research methods: Discrete choice, two-part and regression models are estimated using a sample of 11,018 individuals from the Survey on Sports Habits in Spain 2015. Results and Findings: The association of the correlates follows different patterns depending on whether considering participation or the intensity of this participation in eSports and also in terms of gender. Using different approaches, a significant degree of complementarity between participation and interest in eSports and traditional sports is estimated. For young people interested in eSports seems to an element influencing the overall interest in sports. Implications: Taking into account the different association of the correlates with the participation and the intensity of participation in eSports, this information could be used by firms in order to define marketing and brand investment strategies. The estimated complementarity between eSports and traditional sports should influence how the actual stakeholders in traditional sports define future strategies to favour the growth of both industries. The fact that eSports is increasingly perceived as a sport should have an influence, among others, in the collection of data on sports habits, in the way these activities are regulated and in the organization of multi-sport events, like the Olympic Games.
    Keywords: eSports, discrete choice models, two-part model, complementarity, perception as sport.
    JEL: C25 L83
    Date: 2018–10
  3. By: Goller, Daniel; Knaus, Michael C.; Lechner, Michael; Okasa, Gabriel
    Abstract: We predict the probabilities for a draw, a home win, and an away win, for the games of the German Football Bundesliga (BL1) with a new machine-learning estimator using the (large) information available up to that date. We use these individual predictions in order to simulate a league table for every game day until the end of the season. This combination of a (stochastic) simulation approach with machine learning allows us to come up with statements about the likelihood that a particular team is reaching specific places in the final league table (i.e. champion, relegation, etc.). The machine-learning algorithm used, builds on a recent development of an Ordered Random Forest. This estimator generalises common estimators like ordered probit or ordered logit maximum likelihood and is able to recover essentially the same output as the standard estimators, such as the probabilities of the alternative conditional on covariates. The approach is already in use and results for the current season can be found at
    Keywords: Prediction, Machine Learning, Random Forest, Soccer, Bundesliga
    JEL: C53
    Date: 2018–11
  4. By: Schetter, Ulrich; Tejada, Oriol
    Abstract: We analyze the allocation of talent across teams in large matching markets with competition for rank. We show that under general conditions globalization in the form of a convex transformation of payoffs promotes the concentration of talent, i.e. it makes positive assortative matching more likely and negative assortative matching less likely. This is in line with recent trends in European football (soccer) leagues.
    Keywords: globalization,inequality,matching,rank competition,strategic interaction
    JEL: D00 D02 D3 D4 D62 D85 J01 P40
    Date: 2018
  5. By: Meier, Kristina; Niessen-Ruenzi, Alexandra; Ruenzi, Stefan
    Abstract: We show that female role models increase women's willingness to compete. As in Niederle and Vesterlund (2007), we find that women are less willing to enter a tournament than men, although there are no gender differences in performance. However, the gender gap in tournament entry disappears if subjects are exposed to a competitive female role model. Results are stronger for the best performing women who seem to be particularly encouraged by female role models. Female role models also mitigate gender stereotype threats and lead to higher self-confidence among women. By contrast, we find that competitive male role models seem to intimidate female subjects and increase the gender gap in tournament entry even further. Our results have implications for the socio-political debate on how the fraction of women in top management positions can be increased.
    Keywords: Gender,Competition,Role Models
    JEL: J16 C9
    Date: 2018

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