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Testing for Racial Discrimination in Police Searches of Motor Vehicles | | Camelia Simoiu
; Sam Corbett-Davies
; Sharad Goel
; | | Date: |
19 Jul 2016 | | Abstract: | In the course of conducting traffic stops, officers have discretion to search
motorists for drugs, weapons, and other contraband. There is concern that these
search decisions are prone to racial bias, but it has proven difficult to
rigorously assess claims of discrimination. Here we develop a new statistical
method---the threshold test---to test for racial discrimination in motor
vehicle searches. We use geographic variation in stop outcomes to infer the
effective race-specific standards of evidence that officers apply when deciding
whom to search, an approach we formalize with a hierarchical Bayesian latent
variable model. This technique mitigates the problems of omitted variables and
infra-marginality associated with benchmark and outcome tests for
discrimination. On a dataset of 4.5 million police stops in North Carolina, we
find that the standard for searching black and Hispanic drivers is considerably
lower than the standard for searching white and Asian drivers, a pattern that
holds consistently across the 100 largest police departments in the state. | | Source: | arXiv, 1607.5376 | | Services: | Forum | Review | PDF | Favorites | |
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