We estimate the degree of racial disparity in police vehicular stops separately for local and state police in North Carolina in the year 2000. We introduce four mechanisms that might produce racial disparities in police stops-racial profiling, race sensitive police deployment, cognitive bias and stereotyping, and prejudice. We then model the relative odds of police vehicle stops as a function of race, driving behavior, and other demographic statuses separately by police organization type, with controls for omitted variable bias at both the driver and spatial level. We find only weak evidence of racial disparity in stops by officers of the state highway patrol but stronger evidence in those made by local police officers.
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Cornell Univ, Dept Appl Econ & Management, Ithaca, NY 14850 USACornell Univ, Dept Appl Econ & Management, Ithaca, NY 14850 USA
Blalock, Garrick
DeVaro, Jed
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Calif State Univ, Dept Management, Eastbay, CA USA
Calif State Univ, Dept Econ, Eastbay, CA USACornell Univ, Dept Appl Econ & Management, Ithaca, NY 14850 USA
DeVaro, Jed
Leventhal, Stephanie
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Cornell Univ, Dept Appl Econ & Management, Ithaca, NY 14850 USACornell Univ, Dept Appl Econ & Management, Ithaca, NY 14850 USA
Leventhal, Stephanie
Simon, Daniel H.
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Cornell Univ, Dept Appl Econ & Management, Ithaca, NY 14850 USACornell Univ, Dept Appl Econ & Management, Ithaca, NY 14850 USA
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Univ Estado Rio de Janeiro, Dept Social Sci, Res Methodol, Rio De Janeiro, BrazilUniv Estado Rio de Janeiro, Dept Social Sci, Res Methodol, Rio De Janeiro, Brazil