Intersectional Stereotypes in Policing: An Analysis of Traffic Stop Outcomes Public Deposited
- Last Modified
- March 22, 2019
- Creator
-
Christiani, Leah
- Affiliation: College of Arts and Sciences, Department of Political Science
- Abstract
- Studies of racial profiling typically focus on a White/Black or White/minority dichotomy. In this project, I extend that analysis to multiple racial, gender, and class groups. I use data from every traffic stop that occurred in six states over multiple years, amounting to more than 15 million traffic stops. Using this original and unique dataset, I am able to draw conclusions about the outcomes that individual drivers face as a result of their intersectional racial, gender, and class-based perceived identities. I attribute this phenomenon to widely held stereotypes about social groups, rather than to individually prejudiced police officers. Overall, I find that social groups that are stereotyped as more suspicious receive the harshest treatment from police, while those who are not considered suspicious receive lighter treatment, in the aggregate.
- Date of publication
- August 2017
- Keyword
- DOI
- Resource type
- Rights statement
- In Copyright
- Advisor
- Benjamin, Andrea
- Baumgartner, Frank
- Clark, Christopher
- Degree
- Master of Arts
- Degree granting institution
- University of North Carolina at Chapel Hill
- Graduation year
- 2017
- Language
- Parents:
This work has no parents.
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Christiani_unc_0153M_17144.pdf | 2019-04-11 | Public |
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