Career Dynamics of Doctoral Scientists and Engineers

This paper specifles and estimates a dynamic model of task choices with symmetric learning about one of task-speciflc abilities and dependence on past performance. The model is applied to the career choice problem of doctoral scientists and engineers to explain the following puzzle: Early in their career, the majority of doctorates are employed in R&D and earn the lowest salaries relative to other tasks. However, as careers progress, they leave...