A Discrimination Report Card
开发了一种经验贝叶斯排序方法，为有噪声的测量分配等级，并应用于大规模通信实验，首次公开97家美国雇主的种族和性别联系差距评级。
We develop an empirical Bayes ranking procedure that assigns ordinal grades to noisy measurements, balancing the information content of the assigned grades against the expected frequency of ranking errors. Applying the method to a massive correspondence experiment, we grade the race and gender contact gaps of 97 US employers, the identities of which we disclose for the first time. The grades are presented alongside measures of uncertainty about each firm’s contact gap in an accessible report card that is easily adaptable to other settings where ranks and levels are of simultaneous interest.