2022
DOI: 10.2139/ssrn.4298671
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High-Frequency Location Data Shows That Race Affects the Likelihood of Being Stopped and Fined for Speeding

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Cited by 4 publications
(3 citation statements)
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“…While Kalinowski et al (2023) used an indirect test, Aggarwal et al (2022) had direct information: a large data set of detailed information on a universe of motorists that includes those who are not stopped along with those who are stopped. Their data involved Lyft drivers in Florida between 2017 and 2020, with 40 billion observations of location and speed, and some information on the race of drivers.…”
Section: Infra-marginality and Veils Of Darknessmentioning
confidence: 99%
“…While Kalinowski et al (2023) used an indirect test, Aggarwal et al (2022) had direct information: a large data set of detailed information on a universe of motorists that includes those who are not stopped along with those who are stopped. Their data involved Lyft drivers in Florida between 2017 and 2020, with 40 billion observations of location and speed, and some information on the race of drivers.…”
Section: Infra-marginality and Veils Of Darknessmentioning
confidence: 99%
“…Unequal exposure to police violence, a cardinal manifestation of structural racism, may also contribute to racial disparities in sleep health . Both direct and vicarious exposure to police use of deadly force have been linked to poor health outcomes, most notably poor mental health .…”
Section: Introductionmentioning
confidence: 99%
“…[8][9][10][11][12][13][14][15] Unequal exposure to police violence, a cardinal manifestation of structural racism, may also contribute to racial disparities in sleep health. [16][17][18][19][20][21][22] Both direct and vicarious exposure to police use of deadly force have been linked to poor health outcomes, most notably poor mental health. [23][24][25][26][27][28][29][30][31][32][33][34][35] Even exposure to nonlethal police encounters have been linked to poor health outcomes.…”
mentioning
confidence: 99%