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People use information about their ability to choose tasks. If more challenging tasks provide more accurate information about ability, people who care about and who are risk averse over their perception of their own ability will choose tasks that are not sufficiently challenging. Overestimation of ability raises utility by deluding people into believing that they are more able than they are in fact. Moderate overestimation of ability and overestimation of the precision of initial information leads people to choose tasks that raise expected output, however extreme overconfidence leads people to undertake tasks that are excessively challenging. Consistent with our results, psychologists have found that moderate overconfidence is both pervasive and advantageous and that people maintain such beliefs by underweighting new information about their ability.

This paper develops a framework to understand the role of interpersonal interactions in the labor market including task assignment and wages. Effective interpersonal interactions involve caring, to establish cooperation, and at the same time directness, to communicate in an unambiguous way. The ability to perform these tasks varies with personality and the importance of these tasks varies across jobs. An assignment model shows that people are most productive in jobs that match their style and earn less when they have to shift to other jobs. An oversupply of one attribute relative to the other reduces wages for people who are better with the attribute in greater supply. We present evidence that youth sociability affects job assignment in adulthood. The returns to interpersonal interactions are consistent with the assignment model.

We investigate the effects of maternity leave coverage on women?s post-birth wages, job tenure, and labor market attachment. We pay particular attention to unobservable characteristics that are correlated with maternity leave coverage and that affect labor market outcomes. We use a control sample, as well as a range of control variables, to address unobserved heterogeneity. We find evidence of substantial selection based on unobserved heterogeneity. Maternity leave effects on the three outcomes are found to be small and shortlived. This finding is understandable given that most policies in the United States allow leaves for only 12 weeks at most.

Vintage human capital models imply that young workers will be the primary adopters and beneficiaries of new technologies. Because technological progress in general, and computers in particular, may be skill-biased and because human capital increases over the lifecycle, technological change may favor experienced workers. This paper estimates the relationship between experience and technology adoption and the effect of technological change on the returns to experience. Estimates indicate that technological change is an important explanation for changes in experience premia. We find a complementarity between existing human capital and computer adoption and provide evidence that young workers are better able to adapt to new technologies. Our estimates also shed light on creative destruction models of the productivity slowdown.

Includes bibliographical references (p. 31-32).