Frisky business: race, gender and police activity during traffic stops
- 874 Downloads
- 3 Citations
Abstract
Since the United States Supreme Court laid the foundation for “stop-and-frisk” activity by police departments, a substantial amount of research has explored the behavior of police departments, particularly with respect to race. But previous work rarely focuses on the individual’s probability of receiving a frisk. By exploiting a traffic stop-level dataset from the Pittsburgh Police Department, the marginal effects of assorted driver characteristics are estimated. While the broad characterization of African-American drivers being more likely to receive a frisk remains accurate, several related factors are identified that create a more nuanced picture of a driver’s probability of being frisked. The interaction of the gender of the driver, the time of day of the traffic stop, and the existence of passengers in the stopped vehicle with the race of the driver all impact the probability of receiving a frisk.
Keywords
Frisking Race Traffic stops GenderJEL Classification
K00 K42References
- Alexander, M. (2012). The new Jim Crow: Mass incarceration in the age of colorblindness. New York: The New Press.Google Scholar
- Antonovics, K., & Knight, B. (2009). A new look at racial profiling: Evidence from the Boston police department. Review of Economics and Statistics, 91(1), 163–177.CrossRefGoogle Scholar
- Berjarano, D. (2001). Vehicle stop study year end report: 2000. San Diego: San Diego Police Department.Google Scholar
- Brown, R., & Frank, J. (2006). Race and officer decision making: Examining differences in arrest outcomes between Black and White officers. Justice Quarterly, 23(1), 96–126.CrossRefGoogle Scholar
- Durlauf, S. (2005). Racial profiling as a public policy question: Efficiency, equity and ambiguity. American Economic Review, 95(2), 132–136.CrossRefGoogle Scholar
- Engel, R., & Calnon, J. (2004). Examining the influence of drivers’ characteristics during traffic stops with police: Results from a national survey. Justice Quarterly, 21(1), 49–90.CrossRefGoogle Scholar
- Farrell, A. (2011). Explaining leniency: Organizational predictors of the differential treatment of men and women in traffic stops. Crime and Delinquency (forthcoming).Google Scholar
- Ferrandino, J. (2012). The efficiency of frisks in the NYPD, 2004–2010. Criminal Justice Review, 38(2), 149–168.CrossRefGoogle Scholar
- Geller, A., & Fagan, J. (2010). Pot as pretext: Marijuana, race, and the new disorder in New York City street policing. Journal of Empirical Legal Studies, 7(4), 591–633.CrossRefGoogle Scholar
- Gelman, A., Fagan, J., & Kiss, A. (2007). An analysis of the New York City police department’s “stop-and-frisk” policy in the context of claims of racial bias. Journal of the American Statistical Association, 102(479), 813–823.CrossRefGoogle Scholar
- Gilliard-Matthews, S., Kowalski, B., & Lundman, R. (2008). Officer race and citizen-reported traffic ticket decisions by police in 1999 and 2002. Police Quarterly, 11(2), 202–219.CrossRefGoogle Scholar
- Grogger, J., & Ridgeway, G. (2006). Testing for racial profiling in traffic stops from behind the veil of darkness. Journal of the American Statistical Association, 101(475), 878–887.CrossRefGoogle Scholar
- Huggins, C. (2011). Traffic stop encounters: Officer and citizen race and perceptions of police propriety. American Journal of Criminal Justice, 37(1), 92–100.CrossRefGoogle Scholar
- Knowles, J., Persico, N., & Todd, P. (2001). Racial bias in motor vehicle searches: Theory and evidence. Journal of Political Economy, 109(1), 203–229.CrossRefGoogle Scholar
- Lamberth, J. (1996). In the courts. Washington, DC: American Civil Liberties Union.Google Scholar
- Lundman, R., & Kaufman, R. (2003). Driving while black: Effects of race, ethnicity, and gender on citizen self-reports of traffic stops and police actions. Criminology, 41(1), 195–220.CrossRefGoogle Scholar
- MacDonald, J., Stokes, R., Ridgeway, G., & Riley, K. (2007). Race, neighborhood context and perceptions of injustice by the police in Cincinnati. Urban Studies, 44(13), 2567–2585.CrossRefGoogle Scholar
- Makowsky, M., & Stratmann, T. (2009). Political economy at any speed: What determines traffic citations? American Economic Review, 99(1), 509–527.CrossRefGoogle Scholar
- Mauer, M. (2006). Race to incarcerate. New York: The New Press.Google Scholar
- Mechan, A., & Ponder, M. (2001). Race and place: The ecology of racial profiling African-American motorists. Paper presented at the annual meetings of the American Sociological Association.Google Scholar
- Minnesota v. Dickerson, 508 U.S. 366, 113 S. Ct. 2130, 124 L. Ed. 2d 334 (1993).Google Scholar
- Persico, N., & Todd, P. (2006). Generalising the hit rates test for racial bias in law enforcement, with an application to vehicle searches in Wichita. Economic Journal, 116(515), F351–F367.CrossRefGoogle Scholar
- Ridgeway, G. (2007). Analysis of racial disparities in the New York Police Department’s stop, question and frisk practices. Santa Monica: RAND Corporation.Google Scholar
- Ritter, J. 2013. Racial bias in traffic stops: Tests of a unified model of stops and searches. No. 152496, University of Minnesota, Department of Applied Economics.Google Scholar
- Rosenfeld, R., Rojek, J., & Decker, S. (2012). Age matters: Race differences in police searches of young and older male drivers. Journal of Research in Crime and Delinquency, 49(1), 31–55.CrossRefGoogle Scholar
- Ryan, M. (2014). A ticket to ride? Passengers as a determinant of traffic citations. Pittsburgh, PA: Mimeo.Google Scholar
- Sklansky, D. (2006). Not your father’s police department: Making sense of the new demographics of law enforcement. Journal of Criminal Law and Criminology, 96(3), 1209–1243.Google Scholar
- Skogan, W., & Frydl, K. (2004). Fairness and effectiveness in policing: the evidence. Washington, DC: National Academies Press.Google Scholar
- Terry v. Ohio, 392 U.S. 1, 88 S. Ct. 1868, 20 L. Ed. 2d 889 (1968).Google Scholar
- Verniero, P., & Zoubeck, P. (1999). Interim report of the state police review team regarding allegations of racial profiling. Trenton, NJ: Attorney General’s Office.Google Scholar
- Walker, S. (2000). Searching for the denominator: Problems with police traffic stop data and an early warning system solution. Washington, DC: National Institute of Justice.Google Scholar
- Warren, P., Tomaskovic-Devey, D., Smith, W., Zingraff, M., & Mason, M. (2006). Driving while black: Bias processes in racial disparity in police stops. Criminology, 44(3), 709–737.CrossRefGoogle Scholar