Record Details


Field	Value

Title	Replication Data for: Comparing Systemic and Individual Sources of Racially Disparate Traffic Stop Outcomes

Identifier	https://doi.org/10.7910/DVN/UHLKUO

Creator	Shoub, Kelsey

Publisher	Harvard Dataverse

Description	Paper Abstract: The deaths of George Floyd and Breonna Taylor brought discussions of race and policing to the forefront in the summer of 2020 in the United States, spurring protests and calls for policing reform. However, enacting successful reforms curtailing racially biased policing requires understanding whether bias is widespread, likely tied to systemic sources, or the work of a few racist officers. This study elaborates on these perspectives by drawing on theories of systemic and individual bias that may arise when bureaucrats have ample discretion. Using millions of traffic stops, I construct two measures to evaluate whether disparities are widespread — as indicated by the first perspective — or confined to a few officers — as suggested by the second. This study finds widespread racial disparities in who is searched following a traffic stop across officers and agencies and that banning consent searches would alter policing patterns more than eliminating outlier officers.

Subject	Social Sciences Race; Policing; Computational Methods; Traffic Stops

Contributor	Shoub, Kelsey

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