空气污染对犯罪行为的非线性影响:来自墨西哥城和纽约的证据

Luis Sarmiento
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引用次数: 1

摘要

本文提出了空气污染与犯罪行为之间的倒u型关系。暴露通过提高罪犯对风险和暴力行为的偏好而增加犯罪,同时通过加剧发病率和回避行为而改变重罪犯的数量和市场上的犯罪机会来减少犯罪。我用犯罪决策的预期实用模型和罪犯与犯罪机会之间的简化搜索和匹配摩擦模型来说明这两种机制。线性、二次和非参数泊松伪极大似然估计面板模型证实了墨西哥城和纽约的钟形关系,这表明,最近研究发现的污染与犯罪之间的线性关联可以用非线性模型更好地估计。
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The nonlinear effects of air pollution on criminal behavior: evidence from Mexico City and New York
This article proposes an inverted U-shape relationship between air pollution and criminal behavior. Exposure increases criminality by raising criminals’ taste for risk and violent behavior while also reducing it by changing the number of felons and crime opportunities in the market through exacerbated morbidity and avoidance behavior. I illustrate both mechanisms with an expected utility model of the decision to delict and a simplified search and matching frictions model between criminals and crime opportunities. Linear, quadratic, and nonparametric Poisson pseudo-maximum likelihood estimator panel models confirm this bell-shaped relationship for Mexico City and New York, suggesting that the linear association between pollution and criminality uncovered by late studies may be better estimated with nonlinear models.
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