Efficient Networks in Models of Player and Partner Heterogeneity
This paper contributes to the literature on centrality measures in economics by defining a team game and identifying the key players in the game. As an illustration of the theory we create a unique data set from the UEFA Euro 2008 tournament. To capture the interaction between players we create the passing network of each team. This all allows us to identify the key player and key groups of players for both teams in each game. We then use our measure to explain player ratings by experts and their market values. Our measure is significant in explaining expert ratings. We also find that players having higher intercentrality measures, regardless of their field position have significantly higher market values.
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- Galeotti, Andrea & Goyal, Sanjeev & Kamphorst, Jurjen, 2003.
"Network Formation with Heterogeneous Players,"
Economics Discussion Papers
2996, University of Essex, Department of Economics.
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1098R, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
- Pascal Billand & Christophe Bravard & Sudipta Sarangi, 2011. "Strict Nash networks and partner heterogeneity," International Journal of Game Theory, Springer;Game Theory Society, vol. 40(3), pages 515-525, August.
- Andrea Galeotti, 2006. "One-way flow networks: the role of heterogeneity," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 29(1), pages 163-179, September.
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