Do #AllLivesMatter? An Evaluation of Race and Excessive Use of Force by Police

Abstract

There is anecdotal evidence showing that African-Americans are more likely to be subjected to excessive use of force by police than are people of other races. The counterargument is that these issues are not related to race and there are other factors at work. There have been several high-profile cases, such as those in Ferguson, Cleveland, and Baton Rouge. In this study, we estimate the effect of race on excessive use of force incidents using a new dataset comprising citizen complaints against the Chicago Police Department. Our findings show that not only does race play a role in excessive use of force complaints, but also that race plays a role in which complaints are sustained. Our study also highlights the importance of having data on which to perform rigorous empirical analysis in order to inform policymakers.

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Notes

  1. 1.

    Prendergast (2007) and Dharmapala et al. (2016) develop theoretical models to explain punitive behavior in law enforcement.

  2. 2.

    The data were collected by the Invisible Institute but no effort was made to verify the accuracy of information given by the CPD.

  3. 3.

    In Table 1 in the online supplementary appendix, we show the breakdown of excessive use of force by types. In Table 2 of the same appendix, we run models looking at different types of excessive use of force complaints (on-duty vs. off-duty and injury vs. non-injury).

  4. 4.

    The marginal effects reported for the interaction terms are calculated as the difference between the expected odds of the interactive term relative to a White male. The calculation is the same for the officer characteristics. Ai and Norton (2003) develop a program to calculate marginal effects for interaction terms in non-linear models, but it is only for models with a single interaction terms. Since our model has multiple interaction terms, we follow Buis (2010) by reporting ratios relative to a baseline odds ratio.

  5. 5.

    Utah has started tracking the deployment of tactical units, while California has a database on three types of police-citizen interactions.

References

  1. Ai, C., & Norton, E. C. (2003). Interaction terms in logit and probit models. Economics Letters, 80(1), 123–129.

    Article  Google Scholar 

  2. Alpert, G. P., Dunham, R. G., & MacDonald, J. M. (2004). Interactive police-citizen encounters that result in force. Police Quarterly, 7(4), 475–488.

    Article  Google Scholar 

  3. Antonovics, K., & Knight, B. G. (2009). A new look at racial profiling: Evidence from the Boston police department. The Review of Economics and Statistics, 91(1), 163–177.

    Article  Google Scholar 

  4. Anwar, S., & Fang, H. (2006). An alternative test of racial prejudice in motor vehicle searches: Theory and evidence. The American Economic Review, 96(1), 127–151.

    Article  Google Scholar 

  5. Balko, Radley. (2016) Why It’s impossible to calculate the percentage of police shootings that are legitimate. Washington Post. The Washington Post, 14 July 2016. Web. 17 July 2016.

  6. Brandl, S. G., Stroshine, M. S., & Frank, J. (2001). Who are the complaint-prone officers?: An examination of the relationship between police officers' attributes, arrest activity, assignment, and citizens' complaints about excessive force. Journal of Criminal Justice, 29(6), 521–529.

    Article  Google Scholar 

  7. Brock, W. A., Cooley, J., Durlauf, S. N., & Navarro, S. (2012). On the observational implications of taste-based discrimination in racial profiling. Journal of Econometrics, 166(1), 66–78.

    Article  Google Scholar 

  8. Buis, M. L. (2010). Stata tip 87: Interpretation of interactions in non-linear models. The Stata Journal, 10(2), 305–308.

    Google Scholar 

  9. Bunzel, H., & Marcoul, P. (2008). Can racially unbiased police perpetuate long-run discrimination? Journal of Economic Behavior & Organization, 68(1), 36–47.

    Article  Google Scholar 

  10. Catolico, Eleanore. 2016 One change police can make to show They're serious about reform. Chicago Reporter. N.p., 03 May 2016. Web. 17 July 2016.

  11. Citizens Police Data Project. (2016). Retrieved April 27, 2016, from https://cpdb.co/data/AB9XY8/citizens-police-data-project

  12. Close, B. R., & Mason, P. L. (2007). Searching for efficient enforcement: Officer characteristics and racially biased policing. Review of Law and Economics, 3(2), 263–321.

    Article  Google Scholar 

  13. Cohn, E. G. (1990). Weather and crime. British Journal of Criminology, 30(1), 51–64.

    Article  Google Scholar 

  14. Dharmapala, D., Garoupa, N., & McAdams, R. H. (2016). Punitive police? Agency costs, law enforcement, and criminal procedure. The Journal of Legal Studies, 45(1), 105–141.

    Article  Google Scholar 

  15. Dominitz, J., & Knowles, J. (2006). Crime minimisation and racial bias: What can we learn from police search data? The Economic Journal, 116(515), F368–F384.

    Article  Google Scholar 

  16. Donohue, I. I. I., John, J., & Levitt, S. D. (2001). The impact of race on policing and arrests. The Journal of Law and Economics, 44(2), 367–394.

    Article  Google Scholar 

  17. Friedrich, R. J. (1980). Police use of force: Individuals, situations, and organizations. The Annals of the American Academy of Political and Social Science, 452(1), 82–97.

    Article  Google Scholar 

  18. Garner, J. H., Maxwell, C. D., & Heraux, C. G. (2002). Characteristics associated with the prevalence and severity of force used by the police. Justice Quarterly, 19(4), 705–746.

    Article  Google Scholar 

  19. 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.

    Article  Google Scholar 

  20. Hertz, Daniel Kay. (2017) Homicide inequality in Chicago—In maps. New Republic. N.p., 09 June 2014. Web. 18 Jan. 2017.

  21. Hickman, M. J. (2006). Citizen complaints about police use of force. Office of Justice Programs, Bureau of Justice Statistics: US Department of Justice.

    Google Scholar 

  22. Jackman, Tom. (2016) Only 53 police agencies participating in National Push for use of force statistics." Washington Post. The Washington Post, 26 Apr. 2016. Web. 17 July 2016.

  23. Johnson, R. (2011). Suspect mental health and police use of force. Criminal Justice and Behavior, 38(1), 127–145.

    Article  Google Scholar 

  24. Jr Fryer, G.R. (2016) An Empirical Analysis of Racial Differences in Police Use of Force. No. w22399. National Bureau of Economic Research.

  25. Knowles, J., Persico, N., & Todd, P. (2001). Racial bias in motor vehicle searches: Theory and evidence. Journal of Political Economy, 109(1), 203–229.

    Article  Google Scholar 

  26. Persico, N., & Todd, P. (2006). "Generalising the hit rates test for racial bias in law enforcement, with an application to vehicle searches in Wichita."the. Economic Journal, 116(515), F351–F367.

    Article  Google Scholar 

  27. Police Accountability Task Force. (2016) Recommendation for reform: Restoring trust between Chicago police and the communities they serve. April 2016. https://chicagopatf.org/wp-content/uploads/2016/04/PATF_Final_Report_4_13_16-1.pdf.

    Google Scholar 

  28. Prendergast, C. (2007). The motivation and bias of bureaucrats. American Economic Review, 97, 180–196.

    Article  Google Scholar 

  29. Riksheim, E. C., & Chermak, S. M. (1993). Causes of police behavior revisited. Journal of Criminal Justice, 21(4), 353–382.

    Article  Google Scholar 

  30. Sanga, S. (2014). Does officer race matter? American Law and Economics Review, 16(2), 403–432.

    Article  Google Scholar 

  31. United States. (2017) Department of Justice. Civil Rights Division. Investigation of the Chicago Police Department. https://www.justice.gov/opa/file/925846/download.

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Correspondence to Olugbenga Ajilore.

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Ajilore, O., Shirey, S. Do #AllLivesMatter? An Evaluation of Race and Excessive Use of Force by Police. Atl Econ J 45, 201–212 (2017). https://doi.org/10.1007/s11293-017-9538-6

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Keywords

  • Excessive use of force
  • Race
  • Chicago police department

JEL

  • J10
  • J15
  • K00
  • K42