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犯罪贝克尔-埃利希均衡模型的结构估计:在城市间配置警力以减少犯罪

Structural Estimation of a Becker-Ehrlich Equilibrium Model of Crime: Allocating Police Across Cities to Reduce Crime
Review of Economic Studies · 2017 · Chao Fu、Kenneth I. Wolpin

中文摘要

我们构建了一个犯罪模型,在该模型中,警察数量、犯罪率、逮捕率、就业率和工资率是子博弈完美纳什均衡的联合结果。地方政府选择其警力规模,居民在工作、居家和犯罪选项中做出选择。我们使用大都市统计区(MSA)层面的数据对该模型进行估计。我们利用估计模型考察向地方政府提供定向联邦转移支付以增加警力对犯罪的影响。我们发现,关于不可观测的MSA特定属性的知识对于警力在各MSA之间的最优配置至关重要。

Abstract

We develop a model of crime in which the number of police, the crime rate, the arrest rate, the employment rate, and the wage rate are joint outcomes of a subgame perfect Nash equilibrium. The local government chooses the size of its police force and citizens choose among work, home, and crime alternatives. We estimate the model using metropolitan statistical area (MSA)-level data. We use the estimated model to examine the effects on crime of targeted federal transfers to local governments to increase police. We find that knowledge about unobserved MSA-specific attributes is critical for the optimal allocation of police across MSA’s.
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