We show that increasing the probability of obtaining a job offer through a network should raise the observed wages of workers in jobs found through formal channels relative to those in jobs found through the network. This prediction holds at all percentiles except the highest and lowest. The...

We analyze a firm's job-assignment and worker-monitoring decisions when workers face occasional crises. Firms prefer to assign good workers to a difficult task and to not employ bad workers. Firms observe failures but only observe successfully resolved crises if they monitor the worker. If...

We consider large, permanent shocks to individual occupations whose arrival date is uncertain. We are motivated by the advent of self-driving trucks, which will dramatically reduce demand for truck drivers. Using a bare-bones overlapping generations model, we examine an occupation facing...

We estimate an income process that is consistent with key facts on individual income risk and its variation over the business cycle. In particular, the estimated process generates income fluctuations that display (i) flat and acyclical variance, (ii) volatile and procyclical skewness, (iii) very...

The Global Repository of Income Dynamics (GRID) is a new open-access, cross- country database that contains a wide range of micro statistics on income inequality, dynamics, and mobility. It has four key characteristics: it is built on micro panel data drawn from administrative records; it fully...

Recent empirical studies document that the distribution of earnings changes displays substantial deviations from lognormality: in particular, earnings changes are negatively skewed with extremely high kurtosis (long and thick tails), and these non-Gaussian features vary substantially both over...