Employment Discrimination: An Empirical Test of Forward Versus Reverse Regression
利用某大学教师薪资数据，检验反向回归是否比正向回归更能准确检测薪资歧视，发现反向回归估计存在统计不一致性，无法提供无偏估计。
Using data on faculty salaries at a large university, we follow a methodology suggested by Goldberger to conduct an empirical test of the Conway-Roberts proposition that reverse and not forward regression is the proper way to detect salary discrimination. We obtained 11 different estimates of the amount of salary discrimination. Not only are these estimates statistically inconsistent, but they are also at variance with the estimate derived from the composite reverse regression. Therefore we conclude that, in light of the econometric modeling used, reverse regression does not yield an unbiased estimate of salary discrimination.