Asymmetric Information between Employers
研究潜在雇主与现任雇主对工人能力的信息是否对称，利用NLSY数据发现外部企业减少能力预期误差的速度仅为现任企业的三分之一，支持信息不对称的存在。
This study explores whether potential employers have the same information about worker ability as the incumbent firm. I develop a model of asymmetric learning that nests the symmetric learning case and allows the degree of asymmetry to vary. I then show how predictions in the model can be tested with compensation data. Using the NLSY, I test the model and find strong support for asymmetric information. My estimates imply that in one period, outside firms reduce the average expectation error over worker ability by only a third of the reduction made by incumbent firms.