A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment
可扩展的贝叶斯双重机器学习框架及其在种族比例失衡评估中的应用
Racial disproportionality in stop and search practices elicits substantial concerns about its societal and behavioral impacts. In London, Black individuals are about four times more likely to be stopped and searched than White individuals. Using data on stop and search events in London from January 2019 to December 2023, this paper aims to investigate disproportionality in the volume of stops for expressive crimes involving Black individuals compared to other ethnicities. We…