Are we wasting our talent? Overqualification and overskilling among PhD graduates

Drawing on a very rich data set from a recent cohort of PhD graduates, we examine the correlates and consequences of qualification and skills mismatch. We show that job characteristics such as the economic sector and the main activity at work play a fundamental direct role in explaining the probability of being well matched. However, the effect of academic attributes seems to be mainly indirect, since it disappears once we control for the full set of work characteristics. We detected a significant earnings penalty for those who are both overqualified and overskilled and also showed that being mismatched reduces job satisfaction, especially for those whose skills are underutilized. Overall, the problem of mismatch among PhD graduates is closely related to demand-side constraints of the labor market. Increasing the supply of adequate jobs and broadening the skills PhD students acquire during training should be explored as possible responses.

Why do we ignore risk in schooling decisions?

While uncertainty abounds in almost any decision on investment in schooling, it is mostly ignored in research and virtually absent in labour economics tekst books. This paper documents the scope for risk, discusses the tough disentanglement of heterogeneity and risk, surveys the analytical models, laments the absence of a good workhorse model and points out the challenges worth tackling: document ex ante risk that investors face, develop a tractable and malleable analytical model and integrate the option of consumption smoothing in analytical and empirical work. Hedging labour market risk in the stock market can be safely ignored.