Asymmetric Information between Employers

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.