当前位置: X-MOL 学术Criminology & Public Policy › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Bad apples and incredible certitude
Criminology & Public Policy ( IF 5.085 ) Pub Date : 2021-06-14 , DOI: 10.1111/1745-9133.12545
Michael Sierra‐Arévalo 1 , Andrew Papachristos 2
Affiliation  

Chalfin and Kaplan attend to the problem of police misconduct with a series of simulation analyses that leverage data on complaints and uses of force in the Chicago Police Department. They conclude that incapacitating officers has minimal effects on misconduct and that, given political constraints, policy makers may prefer broader reforms around accountability and management to removing “bad apples”. In this comment, we argue that this conclusion and its policy implications are characterized by “incredible certitude” driven by a selective focus on a subset of their full simulation results and inadequate incorporation of network spillovers into their analysis.

中文翻译:

坏苹果和难以置信的确信

Chalfin 和 Kaplan 通过一系列模拟分析来解决警察不当行为的问题,这些模拟分析利用了芝加哥警察局投诉和使用武力的数据。他们得出的结论是,官员丧失工作能力对不当行为的影响微乎其微,鉴于政治限制,政策制定者可能更愿意围绕问责制和管理进行更广泛的改革,而不是消除“坏苹果”。在这篇评论中,我们认为这一结论及其政策含义的特点是“令人难以置信的确定性”,这是由选择性地关注其完整模拟结果的一个子集以及网络溢出效应未充分纳入其分析所驱动的。
更新日期:2021-06-24
down
wechat
bug