Employer Learning and Statistical Discrimination
利用NLSY79数据，发现企业根据教育等易观察特征对年轻工人进行统计歧视，但随着企业了解工人生产率，这些特征的影响会下降，而难观察特征的影响上升；种族歧视的证据较弱。
We show that if firms statistically discriminate among young workers on the basis of easily observable characteristics such as education, then as firms learn about productivity, the coefficients on the easily observed variables should fall, and the coefficients on hard-to-observe correlates of productivity should rise. We find support for this proposition using NLSY79 data on education, the AFQT test, father's education, and wages for young men and their siblings. We find little evidence for statistical discrimination in wages on the basis of race. Our analysis has a wide range of applications in the labor market and elsewhere.