Mean-Field-Game Model of Corruption

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Abstract

A simple model of corruption that takes into account the effect of the interaction of a large number of agents by both rational decision making and myopic behavior is developed. Its stationary version turns out to be a rare example of an exactly solvable model of mean-field-game type. The results show clearly how the presence of interaction (including social norms) influences the spread of corruption by creating certain phase transition from one to three equilibria.

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Kolokoltsov, V. N., & Malafeyev, O. A. (2017). Mean-Field-Game Model of Corruption. Dynamic Games and Applications, 7(1), 34–47. https://doi.org/10.1007/s13235-015-0175-x

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