论文标题

在美国执行大麻行为的种族差异

Racial Disparities in the Enforcement of Marijuana Violations in the US

论文作者

Butcher, Bradley, Robinson, Chris, Zilka, Miri, Fogliato, Riccardo, Ashurst, Carolyn, Weller, Adrian

论文摘要

几十年来,已经观察到了美国毒品逮捕率的种族差异,但它们的原因和政策含义仍然有争议。一些人认为,差异在很大程度上反映了种族群体之间的毒品使用差异,而另一些人则假设歧视性执法政策和警察惯例起着重要作用。在这项工作中,我们分析了在美国执行大麻违规行为时的种族差异。使用基于国家事件的报告系统(NIBRS)和全国毒品使用与健康调查(NSDUH)计划的数据,我们研究大麻的使用和购买行为是否可以解释警察记录中罪犯的种族组成。我们研究了这些差异背后的潜在驾驶机制以及县级社会经济因素与相应差异有关的程度。我们的结果表明,仅使用大麻日期的差异就无法解释报告事件和逮捕的重大种族差异。购买大麻的位置的变化以及这些购买的频率部分解释了观察到的差异。在过去十年中,我们观察到大多数县的种族差异的增加,而在此期限内将大麻使用合法化的州的增长最大。收入,高中毕业率和就业率与较大的种族差异正相关,而监禁率是负相关的。最后,我们讨论了在算法公平的背景下观察到的种族差异的含义。

Racial disparities in US drug arrest rates have been observed for decades, but their causes and policy implications are still contested. Some have argued that the disparities largely reflect differences in drug use between racial groups, while others have hypothesized that discriminatory enforcement policies and police practices play a significant role. In this work, we analyze racial disparities in the enforcement of marijuana violations in the US. Using data from the National Incident-Based Reporting System (NIBRS) and the National Survey on Drug Use and Health (NSDUH) programs, we investigate whether marijuana usage and purchasing behaviors can explain the racial composition of offenders in police records. We examine potential driving mechanisms behind these disparities and the extent to which county-level socioeconomic factors are associated with corresponding disparities. Our results indicate that the significant racial disparities in reported incidents and arrests cannot be explained by differences in marijuana days-of-use alone. Variations in the location where marijuana is purchased and in the frequency of these purchases partially explain the observed disparities. We observe an increase in racial disparities across most counties over the last decade, with the greatest increases in states that legalized the use of marijuana within this timeframe. Income, high school graduation rate, and rate of employment positively correlate with larger racial disparities, while the rate of incarceration is negatively correlated. We conclude with a discussion of the implications of the observed racial disparities in the context of algorithmic fairness.

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