3 papers
stat.AP2025
Causal inference and racial bias in policing: New estimands and the importance of mobility data
Zhuochao Huang, Brenden Beck, Joseph Antonelli
Studying racial bias in policing is a critically important problem, but one that comes with a number of inherent difficulties due to the nature of the available data. In this manus…
stat.ME2025
Robust inference for geographic regression discontinuity designs: assessing the impact of police precincts
Emmett B. Kendall, Brenden Beck, Joseph Antonelli
We study variation in policing outcomes attributable to differential policing practices in New York City (NYC) using geographic regression discontinuity designs (GeoRDDs). By focus…
stat.ME2025
Principal stratification with continuous treatments and continuous post-treatment variables
Joseph Antonelli, Minxuan Wu, Fabrizia Mealli +2
Principal stratification (PS) is a commonly used approach for understanding the mechanisms through which a treatment affects an outcome. The goal of this work is to extend the PS f…