Jonathan Mummolo (Princeton University)
Administrative Records Mask Racially Biased Policing
You can learn more about Professor Mummolo here.
Where and When: Friday, January 15, 2021 at 3:00pm on Zoom.
Video of the presentation available here: https://youtu.be/eM-qq4LJzOU
Important: We inform you that our events are recorded and posted on our website and our social media. For the first part of the event, only the speaker and the CSDC membre presenting the speaker are recorded. For the questions period, all the participants might be visible on the recording. If you do not want to be recorded, you can 1) turn out your camera and use the audio only to ask a question, or 2) ask your question in the chat, and the moderator will ask the question for you.
Abstract: Researchers often lack the necessary data to credibly estimate racial discrimination in policing. In particular, police administrative records lack information on civilians police observe but do not investigate. In this article, we show that if police racially discriminate when choosing whom to investigate, analyses using administrative records to estimate racial discrimination in police behavior are statistically biased, and many quantities of interest are unidentified—even among investigated individuals—absent strong and untestable assumptions. Using principal stratification in a causal mediation framework, we derive the exact form of the statistical bias that results from traditional estimation. We develop a bias-correction procedure and nonparametric sharp bounds for race effects, replicate published findings, and show the traditional estimator can severely underestimate levels of racially biased policing or mask discrimination entirely. We conclude by outlining a general and feasible design for future studies that is robust to this inferential snare.
See all the other Speaker Series Events here.
This series is sponsored by the Centre for the Study of Democratic Citizenship, which is funded by the Fonds de recherche du Québec – Société et culture (FRQSC).