Good Cop, Bad Cop: Using Civilian Allegations to Predict Police Misconduct
American Economic Journal: Economic Policy
In response to high-profile cases of police misconduct, reformers are calling for greater use of civilian allegations in identifying potential problem officers. This paper applies an Empirical Bayes framework to data on civilian allegations and civil rights litigation in Chicago to assess the predictive value of civilian allegations for serious future misconduct. We find a strong relationship between allegations and future civil rights litigation, especially for the very worst officers. The worst one percent of officers, as measured by civilian allegations, generate almost five times the number of payouts and over four times the total damage payouts in civil rights litigation. These findings suggest that intervention efforts could be fruitfully concentrated among a relatively small group.
Policing, Personnel Economics, Police Misconduct, Civil Rights, Civil Rights Litigation, Public Finance
Kyle Rozema and Max Schanzenbach, Good Cop, Bad Cop: Using Civilian Allegations to Predict Police Misconduct, 11 Am. Econ. J.: Econ. Pol'y 225 (2019)
Rozema, Kyle and Schanzenbach, Max Matthew, "Good Cop, Bad Cop: Using Civilian Allegations to Predict Police Misconduct" (2019). Scholarship@WashULaw. 99.