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理解代际流动与社区暴力之间的关系。

Understanding the relationship between intergenerational mobility and community violence.

机构信息

Department of Sociology, Wallace Hall, Princeton University, Princeton, NJ 08544.

Gerald R. Ford School of Public Policy, Joan and Sanford Weill Hall, University of Michigan, Ann Arbor, MI 48109.

出版信息

Proc Natl Acad Sci U S A. 2024 Aug 13;121(33):e2309066121. doi: 10.1073/pnas.2309066121. Epub 2024 Aug 5.

Abstract

Violence is a key mechanism in the reproduction of community disadvantage. The existing evidence indicates that violence in a community impacts the intergenerational mobility of its residents. The current study explores the possibility of a reverse relationship. This study provisionally tests the hypothesis that depressed intergenerational mobility in a community may also spark subsequent community violence. We deploy a county measure of intergenerational mobility captured during early adulthood for a cohort of youth born between 1980 and 1986 and raised in low-income families [R. Chetty, N. Hendren, , 1163-1228 (2018)]. We model the relationship between county mobility scores and two county-level outcomes: violent crime and homicide. We find that a county's level of intergenerational mobility as measured by the Chetty-Hendren data is a major predictor of its rate of violent crime and homicide in 2008, when the youth in Chetty's mobility cohort were young adults (the same age the mobility measure was captured). In fact, mobility is a significantly stronger and more consistent predictor of community violent crime and homicide rates than more commonly used factors like poverty, inequality, unemployment, and law enforcement presence.

摘要

暴力是社区劣势再生产的关键机制。现有证据表明,社区中的暴力会影响其居民的代际流动性。本研究探讨了反向关系的可能性。本研究暂时检验了以下假设:社区中代际流动性下降也可能引发随后的社区暴力。我们使用一个县的代际流动性指标来衡量在一个社区中年轻人在成年早期的代际流动性,这些年轻人出生于 1980 年至 1986 年期间,成长于低收入家庭[R. Chetty、N. Hendren,,1163-1228 (2018)]。我们构建了一个模型,以研究县流动分数与两个县一级的结果之间的关系:暴力犯罪和凶杀。我们发现,以 Chetty-Hendren 数据衡量的一个县的代际流动性水平是其 2008 年暴力犯罪和凶杀率的主要预测因素,当时 Chetty 的流动队列中的年轻人是年轻人(与流动指标相同)。实际上,流动性是社区暴力犯罪和凶杀率的一个更强大、更一致的预测因素,其重要性超过了常见的因素,如贫困、不平等、失业和执法力度。

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