A large-scale analysis of racial disparities in police stops across the United States

To assess racial disparities in police interactions with the public, we compiled and analyzed a dataset detailing over 60 million state patrol stops conducted in 20 U.S. states between 2011 and 2015. We find that black drivers are stopped more often than white drivers relative to their share of the...

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Autor principal: Corbett-Davies, Sam (Autor)
Otros Autores: Simoiu, Camelia ; Ramachandran, Vignesh ; Pierson, Emma ; Phillips, Cheryl ; Overgoor, Jan ; Goel, Sharad
Tipo de documento: Electrónico Libro
Lenguaje:Inglés
Publicado: 2017
En:Año: 2017
Acceso en línea: Volltext (kostenfrei)
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520 |a To assess racial disparities in police interactions with the public, we compiled and analyzed a dataset detailing over 60 million state patrol stops conducted in 20 U.S. states between 2011 and 2015. We find that black drivers are stopped more often than white drivers relative to their share of the driving-age population, but that Hispanic drivers are stopped less often than whites. Among stopped drivers -- and after controlling for age, gender, time, and location -- blacks and Hispanics are more likely to be ticketed, searched, and arrested than white drivers. These disparities may reflect differences in driving behavior, and are not necessarily the result of bias. In the case of search decisions, we explicitly test for discrimination by examining both the rate at which drivers are searched and the likelihood searches turn up contraband. We find evidence that the bar for searching black and Hispanic drivers is lower than for searching whites. Finally, we find that legalizing recreational marijuana in Washington and Colorado reduced the total number of searches and misdemeanors for all race groups, though a race gap still persists. We conclude by offering recommendations for improving data collection, analysis, and reporting by law enforcement agencies 
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700 1 |a Overgoor, Jan  |e VerfasserIn  |4 aut 
700 1 |a Goel, Sharad  |e VerfasserIn  |4 aut 
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