Abstract

The PerformanceStat approach to performance management emphasizes leadership involvement, top-down accountability routines, and rapid application of data, a configuration likely to improve measured outcomes in targeted areas but with high risk of adverse effects in non-targeted or neglected areas, such as equity and social justice. We test these hypotheses in examining the impact of CompStat policing on crime reduction, the intended target, and on racial disparities in arrest rates, a neglected consequence. Event-history analysis and semi-parametric controls of 14 years of data for a nationwide sample of U.S. police departments in small- to medium-size cities find that CompStat is associated with some reduction in crime, with variation across crime types and the indication of distinct prior trends for adopters. At the same time, CompStat significantly increases the risk of arrests among blacks, especially juveniles, supporting concerns about the adverse unintended consequences.

摘要

绩效管理的 PerformanceStat 方法强调领导参与、自上而下的问责程序和数据的快速应用，这种配置可能会改善目标领域的衡量结果，但在非目标或被忽视的领域（如公平）具有产生不利影响的高风险和社会正义。我们在检查 CompStat 警务对减少犯罪、预期目标以及逮捕率的种族差异（一个被忽视的后果）的影响时检验这些假设。对美国中小城市警察部门全国样本的 14 年数据的事件历史分析和半参数控制发现，CompStat 与犯罪率有所下降有关，犯罪类型各不相同，表明采用者的明显先验趋势。同时，