An analysis of the New York City Police Department's Stop-and-Frisk policy in the context of claims of racial bias

• 成果类型: Article
• 署名作者: Gelman, Andrew; Fagan, Jeffrey; Kiss, Alex
• 署名单位: Columbia University; Columbia University; Columbia University; Columbia University; University of Toronto; Sunnybrook Health Science Center; Sunnybrook Research Institute
• 刊物名称: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
• ISSN/ISSBN: 0162-1459
• DOI: 10.1198/016214506000001040
• 发表日期: 2007
• 页码: 813-823
• 关键词: multilevel; SUSPICION; GENDER; black; RACE

摘要

Recent studies by police departments and researchers confirm that police stop persons of racial and ethnic minority groups more often than whites relative to their proportions in the population. However, it has been argued that stop rates more accurately reflect rates of crimes committed by each ethnic group, or that stop rates reflect elevated rates in specific social areas, such as neighborhoods or precincts. Most of the research on stop rates and police-citizen interactions has focused on traffic stops, and analyses of pedestrian stops are rare. In this article we analyze data from 125,000 pedestrian stops by the New York Police Department over a 15-month period. We disaggregate stops by police precinct and compare stop rates by racial and ethnic group, controlling for previous race-specific arrest rates. We use hierarchical multilevel models to adjust for precinct-level variability, thus directly addressing the question of geographic heterogeneity that arises in the analysis of pedestrian stops. We find that persons of African and Hispanic descent were stopped more frequently than whites, even after controlling for precinct variability and race-specific estimates of crime participation.