This article reviews the recent theoretical and empirical literature in economics that aims to establish empirically whether police engage in racially biased law enforcement practices. It considers different objective functions that might be posited for police officers and the tests that can be derived under these objectives. Assuming a hit rate objective function leads to a simple, empirically implementable outcomes-based test that can potentially explain an observed empirical regularity in many police data-sets whereby disparities in hit rates tend to be very small despite large disparities in search rates.
KeywordsDeterrence Omitted-variable bias Optimal auditing Racial profiling Rational expectations Statistical discrimination
JEL ClassificationsJ7 K4
I am grateful to Steven Durlauf, Hanming Fang and Nicola Persico for helpful discussions.
- Antonovics, K., and B. Knight 2004. A new look at racial profiling: Evidence from the Boston Police Department. Working Paper No. W10634. NBER, Cambridge, MA.Google Scholar
- Arrow, K. 1973. The theory of discrimination. In Discrimination in labor markets, ed. O. Ashenfelter and A. Rees. Princeton: Princeton University Press.Google Scholar
- Becker, G. 1957. The economics of discrimination. Chicago: Chicago University Press.Google Scholar
- Carter, D., A. Katz-Bannister, and J. Schafter. 2002. Analysis of the lansing police department MATS data: An eighteen month status report. Report submitted to Chief Mark Alley, Lansing Police Department.Google Scholar
- Coate, S., and G.C. Loury. 1993. Will affirmative action policies eliminate negative stereotypes? American Economic Review 83: 1220–1240.Google Scholar
- Cohen-Vogel, D., and B. Doss. 2002. Vehicle stops and race: A study and report in response to public Chapter 910 of 2000. Report to Comptroller of the Treasury, Comptroller of the Treasury, State of Tennessee, Nashville.Google Scholar
- Cordner, G., B. Williams, and A. Velasco. 2002. Vehicle stops in San Diego: 2001. San Diego: San Diego Police Department.Google Scholar
- Dharmapala, D., and S. Ross. 2004. Racial bias in motor vehicle searches: Additional theory and evidence. Contributions to Economic Analysis & Policy 3(1), Article 12. Online. Available at http://www.bepress.com/bejeap/contributions/vol3/iss1/art12. Accessed 2 Sept 2006.
- Donohue, J. 1999. Expert witness testimony in the case. Chavez v Illinois State Police.Google Scholar
- Donohue, J. 2005. The law and economics of antidiscrimination law. Public Law Working Paper No. 101, Yale Law School.Google Scholar
- Eeckhout, J., N. Persico, and P. Todd. 2003. A theory of random crackdowns. Mimeo: University of Pennsylvania.Google Scholar
- Epstein, R. 1992. Forbidden grounds: The case against employment discrimination laws. Cambridge, MA: Harvard University Press.Google Scholar
- Farrell, A., D. McDevitt, S. Cronin, and E. Pierce. 2003. Rhode island traffic stop statistics act final report. Boston: Institute on Race and Justice, Northeastern University.Google Scholar
- Greenwald, H. 2003. Police vehicle stops in Sacramento, CA: Second of three reports. School of Policy, Planning and Development, University of Southern California.Google Scholar
- Harcourt, B. 2004. Rethinking racial profiling: A critique of the economics, civil liberties, and constitutional literature and of criminal profiling more generally. University of Chicago Law Review 71: 1276–1380.Google Scholar
- Kennedy, R. 1997. Race, crime and the law. New York: Pantheon Books.Google Scholar
- Lamberth, J. 2003. Racial profiling data analysis study: Final report for the San Antonio Police Department. Online. Available at http://www.sanantonio.gov/sapd/pdf/LamberthSanAntonioRpt_2003.pdf. Accessed 3 Oct 2006.
- Lovrich, N., M. Gaffney, C. Mosher, M. Pickerill, and M. Smith. 2003. WSP traffic stop data analysis project: Data analysis project report. Division of Governmental Studies and Services, Washington State University.Google Scholar
- Nixon, J. 2003. Executive summary on 2003 Missouri traffic stops. Missouri Attorney General’s Office, Jefferson City. Online. Available at http://www.ago.mo.gov/racialprofiling/2003/racialprofiling2003.htm. Accessed 2 Sept 2006.
- Persico, N., and D. Castleman. 2005. Detecting bias: Using statistical evidence to establish intentional discrimination in racial profiling cases. 2005 University of Chicago Legal Forum, 217–235.Google Scholar
- Ross, S. 1996. Mortgage lending discrimination and racial differences in loan default. Journal of Housing Research 7: 117–126.Google Scholar
- Scotchmer, S. 1987. Audit classes and tax enforcement policy. American Economic Review 77: 229–233.Google Scholar
- Sherman, L. 1990. Police crackdowns initial and residual deterrence. In Crime and justice: A review of research, ed. M. Tonry and N. Morris, Vol. 12. Chicago: University of Chicago Press.Google Scholar
- Smith, W., E. Davison, M. Zingraff, K. Rice, and D. Bissler. 2004. An empirical investigation of the possible presence and extent of arbitrary profiling in the Charlotte-Mecklenburg Police Department. Final Report to Charlotte-Mecklenburg Police Department. Department of Sociology and Anthropology, North Carolina State University.Google Scholar
- Spitzer, E. 1999. A report to the people of the state of New York from the Office of the Attorney General. New York: Civil Rights Bureau.Google Scholar
- Thomas, D. and Hansen, R. 2004. Second annual report, Denver police department, contact card data analysis. Department of Geography, University of Colorado at Denver.Google Scholar
- US General Accounting Office. 2000. Customs service: Better targeting of airline passengers for personal searches could produce better results. GAO/GGD-00-38. US Government Printing Office, Washington, DC.Google Scholar
- Verniero, P., and P. Zoubek. 1999. Interim report of the state police review team regarding allegations of racial profiling. Trenton: Attorney General’s Office.Google Scholar