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Social Networks and Crime Decisions: The Role of Social Structure in Facilitating Delinquent Behavior

机译:社会网络与犯罪决策:社会结构在促进违法行为中的作用

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摘要

We develop a model in which delinquents compete with each other in criminal activities but may benefit from being friends with other criminals by learning and acquiring proper know-how on the crime business. By taking the social network connecting agents as given, we study the subgame perfect Nash equilibrium of this game in which individuals decide first to work or to become a criminal and then the crime effort provided if criminals. We show that this game always has a pure strategy subgame perfect Nash equilibrium that we characterize. Ex ante identical individuals connected through a network can end up with very different equilibrium outcomes: either employed, or isolated criminal or criminals in network. We also show that multiple equilibria with different number of active criminals and levels of involvement in rime activities may coexist and are only driven by the geometry of the pattern of links connecting criminals. Using the equilibrium concept of pairwise-stable networks, we then show that the multiplicity of equilibrium outcomes holds even when we allow for endogenous network formation.
机译:我们建立了一个模型,在这种模型中,犯罪分子在犯罪活动中相互竞争,但可以通过学习和获得有关犯罪业务的专门知识而从与其他犯罪分子的朋友中受益。通过给出给定的社交网络连接主体,我们研究了该游戏的子博弈完美纳什均衡,其中个人首先决定工作或成为犯罪分子,然后决定犯罪分子提供的犯罪努力。我们证明了该游戏始终具有我们所表征的纯策略子游戏完美纳什均衡。通过网络连接的事前相同的个体最终可能会获得截然不同的均衡结果:受雇或孤立的犯罪分子或网络犯罪分子。我们还表明,具有不同活跃犯罪分子数量和参与犯罪活动水平的多重均衡可能并存,并且仅由连接犯罪分子的链接模式的几何形状驱动。然后,使用成对稳定网络的均衡概念,我们表明即使我们允许内生网络形成,均衡结果的多重性仍然成立。

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