We develop a framework where mismatch between vacancies and job seekers across sectors translates into higher unemployment by lowering the aggregate job-finding rate. We use this framework to measure the contribution of mismatch to the recent rise in U.S. unemployment by exploiting two sources...

This paper models growth via on-the-job learning when firms and workers are heterogeneous. It is an overlapping generations model in which young agents match with the old. More efficient assignments lead to faster long-run growth, more inequality, and less turnover in the distribution of human...

In a reasonably calibrated Mortensen and Pissarides matching model, shocks to average labor productivity can account for a small portion of the fluctuations in unemployment and vacancies (Shimer (2005)). I add heterogeneity in jobs (matches) with respect to the time the job is created in the...

Following Grossman and Rossi-Hansberg (2008) we present a model in which tasks of varying complexity are matched to workers of varying skill in order to develop and test predictions regarding the effects of immigration and offshoring on US native-born workers. We find that immigrant and...

We provide an illustration of how the design of labor market clearing mechanisms can affect incentives for human capital acquisition. Specifically, we extend the labor market matching model (with discrete transfers) of Kelso and Crawford (1982) to incorporate the possibility that agents may...

Teacher contracts that condition pay and retention on demonstrated performance can improve selection into and out of teaching. I study alternative contracts in a simulated teacher labor market that incorporates dynamic self-selection and Bayesian learning. Bonus policies create only modest...

We examine characteristics of the 400 wealthiest individuals in the United States over the past three decades as tabulated by Forbes Magazine, and analyze which theories of increasing inequality are most consistent with these data. The people of the Forbes 400 in recent years did not grow up as...