Revenue Sharing, Competitive Balance and the Contest Success Function
Marco Runkel ()
German Economic Review, 2011, vol. 12, issue 3, 256-273
Abstract:
This paper investigates revenue sharing in an asymmetric two-teams contest model of a sports league with Nash behavior of team owners. The innovation of the analysis is that it focuses on the role of the contest success function (CSF). In case of an inelastic talent supply, revenue sharing turns out to worsen competitive balance regardless of the shape of the CSF. For the case of an elastic talent supply, in contrast, the effect of revenue sharing on competitive balance depends on the specification of the CSF. We fully characterize the class of CSFs for which revenue sharing leaves unaltered competitive balance and identify CSFs ensuring that revenue sharing renders the contest closer.
Keywords: Revenue sharing; competitive balance; contest success function (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
https://doi.org/10.1111/j.1468-0475.2011.00530.x (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.
Related works:
Journal Article: Revenue Sharing, Competitive Balance and the Contest Success Function (2011) 
Working Paper: Revenue Sharing, Competitive Balance and the Contest Success Function (2008) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bpj:germec:v:12:y:2011:i:3:p:256-273
Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/ger/html
DOI: 10.1111/j.1468-0475.2011.00530.x
Access Statistics for this article
German Economic Review is currently edited by Peter Egger, Almut Balleer, Jesus Crespo-Cuaresma, Mario Larch, Aderonke Osikominu and Georg Wamser
More articles in German Economic Review from De Gruyter
Bibliographic data for series maintained by Peter Golla ().