This study introduces a statistical estimator that can be used to examine disproportionate traffic stop behavior of police officers. This estimator can be employed in concert with internal benchmark data and a tree diagram algorithm to identify and classify disproportionate behavior. These methodologies are multilevel and can be used (a) at the macrolevel to examine disproportionality of a police department as an organization and (b) at the microlevel to draw inferences about reasons for individual officers’ disproportionate behavior. These statistical routines were tested using data from a medium sized midwestern community. Results suggest that the models are effective in detecting disproportionality in both a police organization and an individual officers’ traffic stop activity. Moreover, the methods may serve as an initial step in pointing toward the sources of the officers’ behavior.
For more than four years, our EU COST funded network on Police Stops has been gathering information, hearing from experts…Read more
Workshop 'Registration of police stops and ethnicity and defining the police stop' 31 Aug - 2 Sept 2022
In line with our project’s ambition to share learning and explore the issue police stops across Europe, we are organising…Read more
European Journal of Policing Studies Special Issue: The Dynamics of Police Stops Guest editors: Mike Rowe Sofie de Kimpe Vincenzo…Read more