This paper studies the role of worker learning in a labor market where workers have incomplete information about the quality of their employment match. The amount of information about the quality of a new match depends on a worker’s past job experience. Allowing workers to learn from...

Significant employment differences between the US and Europe are concentrated among young workers. This paper constructs a labor search model that accounts for age patterns of employment. Work experience reduces the probability that workers lose their jobs. By introducing minimum wages, the...

We derive the optimal labor income tax schedule for a life cycle model with deterministic productivity variation and complete asset markets. An individual chooses whether and how much to work at each date. The government must finance a given expenditure and does not have access to lump sum...

This paper extends the literature on learning in labor markets by parameterizing the amount of learning that transfers across jobs. Previous models have assumed that learning is either job specific as in Jovanovic (1979) or perfectly transferable across jobs as in Gibbons et al. (2005). By...

This paper studies structural change in production networks for intermediate inputs (input-output network) and new capital (investment network). For each network, we document a declining fraction of production by goods sectors and a rising fraction of production by services sectors. We develop a...

Distributional analysis is an important feature in discussions of fiscal policy changes. While changes in taxes and spending are typically subject to distributional scoring, the distributional costs of changes in net debt are generally ignored. This paper proposes a measure of the distributional...

This paper studies the role of worker learning in a labor market where workers have incomplete information about the quality of their employment match. The amount of information about the quality of a new match depends on a worker's past job experience. Allowing workers to learn from experience...