Mean field game model of corruption
Vassili N. Kolokoltsov, Oleg A. Malafeyev

TL;DR
This paper introduces an exactly solvable mean-field game model of corruption that captures how social interactions and norms influence the spread of corrupt behavior among large populations.
Contribution
It presents a novel, analytically solvable mean-field game model incorporating social interactions and norms affecting corruption dynamics.
Findings
Interaction influences corruption spread
Social norms impact agent decisions
Model is exactly solvable and analytically tractable
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.
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Game Theory and Applications · Corruption and Economic Development
