The signal quality of grades across academic fields
利用杜克大学成绩数据和相关学习模型，发现理工科和经济学成绩比人文社科成绩更能反映学生能力，且理工科成绩对人文社科能力的预测力甚至超过人文社科成绩本身。
Summary I use transcript data from Duke University and a correlated learning model to measure the signal quality of grades across academic fields. I find science, engineering, and economics grades are significantly more informative than humanities and social science grades. The correlated learning structure allows grades in one field to signal abilities in all fields. This sometimes generates information spillovers so powerful that science, engineering, and economics grades inform humanities and social science beliefs more than humanities and social science grades. I show that grade compression reduces signal quality but cannot explain the differences in signal quality across academic fields.