Multi-tasking and the Returns to Experience

In this paper, I study how an increase in the use of new work practices that involve multi-tasking has affected the returns to experience. If each task in a job has a concave learning curve, then increasing the number of tasks may increase the returns to experience. Using the Panel Study of Income Dynamics, I provide evidence for the fact that successive cohorts have greater returns to experience. Next, I construct proxies for multi-tasking using Paul Osterman's 1992 survey of workplace practices in U.S. establishments, and find that (i) later cohorts choose jobs with greater multi-tasking, (ii) the rate of within-job wage growth rises with the degree of multi-tasking, and (iii) the returns to experience are larger in jobs with more multi-tasking. Finally, I find mixed evidence on the effect of unobserved heterogeneity, which implies that part of these larger returns to experience may be because those in jobs with more multi-tasking have higher unobserved ability.