title: The multi-player performance-enhancing drug game.
abstract: This paper extends classical work on economics of doping into a multi-player game setting. Apart from being among the first papers formally formulating and analysing a multi-player doping situation, we find interesting results related to different types of Nash-equilibria (NE). Based mainly on analytic results, we claim at least two different NE structures linked to the choice of prize functions. Linear prize functions provide NEs characterised by either everyone or nobody taking drugs, while non-linear prize functions lead to qualitatively different NEs with significantly more complex predictive characteristics.
authors.affiliation: Faculty of Economics, Informatics and Social Science, Molde Univeristy College, Molde, Norway.
authors.forename: Kjetil K
authors.initials: KK
authors.lastname: Haugen
authors.forename: Tamás
authors.initials: T
authors.lastname: Nepusz
authors.forename: Andrea
authors.initials: A
authors.lastname: Petróczi
mesh_terms: D003198:Computer Simulation; D004300:Doping in Sports / Q000191:economics* / Q000379:methods / Q000523:psychology*; D005716:Game Theory; D005717:Games, Experimental; D006801:Humans; D008960:Models, Psychological