Racial profiling or racist policing? Bounds tests in aggregate data
成果类型：
Article
署名作者：
Hernández-Murillo, R; Knowles, J
署名单位：
University of Pennsylvania; Federal Reserve System - USA; Federal Reserve Bank - St. Louis
刊物名称：
INTERNATIONAL ECONOMIC REVIEW
ISSN/ISSBN：
0020-6598
DOI：
10.1111/j.0020-6598.2004.00293.x
发表日期：
2004
页码：
959-989
关键词：
摘要：
State-wide reports on police traffic stops and searches summarize very large populations, making them potentially powerful tools for identifying racial bias, particularly when statistics on search outcomes are included. But when the reported statistics conflate searches involving different levels of police discretion, standard tests for racial bias are not applicable. This article develops a model of police search decisions that allows for non discretionary searches and derives tests for racial bias in data that mix different search types. Our tests reject unbiased policing as an explanation of the disparate impact of motor-vehicle searches on minorities in Missouri.
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