Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/56581 
Autor:innen: 
Erscheinungsjahr: 
2010
Schriftenreihe/Nr.: 
MAGKS Joint Discussion Paper Series in Economics No. 07-2010
Verlag: 
Philipps-University Marburg, Faculty of Business Administration and Economics, Marburg
Zusammenfassung: 
In many cases, collusive agreements are formed by asymmetric firms and include only a subset of the firms active in the cartelized industry. This paper endogenizes the process of cartel formation in a numeric simulation model where firms differ in marginal costs and production technologies. The paper models the incentive to collude in a differentiated products Bertrand-oligopoly. Cartels are the outcomes of a dynamic formation game in mixed strategies. I find that the Nash-equilibrium of this complex game can be obtained efficiently by a Differential Evolution stochastic optimization algorithm. It turns out that large firms have a higher probability to collude than small firms. Since firms' characteristics evolve over time, the simulation is used to generate data of costs, prices, output-quantities, and profits. This data forms the basis for an evaluation of empirical methods used in the detection of cartels.
Schlagwörter: 
collusion
cartel detection
cartel formation
differential evolution
heuristic optimization
industry simulation
JEL: 
C51
C69
C72
D43
L12
L13
L40
Dokumentart: 
Working Paper

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