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Endogenous Transition Dynamics in Corruption: An Agent-Based Computer Model

Abstract

Corruption is modeled as a game-theoretic micro-level interaction, using an agent-based computer model with heterogeneous agents. Emergent macro-level behaviors differ from traditional literature on the subject, and suggest an endogenous social transition from a high-corruption state to a low-corruption state is possible. The paper explores the conditions necessary for such a transition, as well as related dynamics in the model.