We develop a framework to understand pre-employment credit screening as a signal from credit markets that alleviates adverse selection in labour markets. In our theory, people differ in both their propensity to default on debt and the profits they create for firms that employ them; in our calibrated economy, highly productive workers have a low default probability. This leads firms to create more jobs for those with good credit, which creates a poverty trap: an unemployed worker with poor credit has a low job finding rate, but cannot improve her credit without a job. This manifests as an endogenous loss in present-discounted wages that is typically taken as exogenous in quantitative models of consumer default. Banning employer credit checks eliminates the poverty trap, but pools job seekers and reduces matching efficiency: average unemployment duration rises by 2 days for high productivity workers and falls by 13 days for low-productivity workers.

We examine the effects of stock market access, and in particular trading hours, on retail investment performance. Using discontinuities around time zone borders, we find that plausibly exogenous decreases in waking trading hours are associated with meaningful increases in retail investors’ capital gains, as reported on tax returns for the U.S. population. Our results indicate that limiting trading hours curbs active retail trading, leading to improvements in portfolio performance. Our findings identify one negative effect of decreasing barriers to entry for retail investors in trading markets.

Over the past fifteen years, eleven states have restricted employers' access to the credit reports of job applicants. We estimate that county-level job vacancies have fallen by 5.5% in occupations affected by these laws relative to exempt occupations in the same counties and national-level vacancies for the same occupations. Cross-sectional heterogeneity suggests that employers use credit reports as signals of a worker's ability to perform the job: vacancies fall more in counties with a large share of subprime residents and less for occupations with other commonly available signals. Vacancies fall most for occupations involving routine tasks, suggesting that credit reports contain information relevant for these types of jobs.

In this paper we construct a stochastic overlapping-generations general equilibrium model in which households are subject to aggregate shocks that affect both wages and asset prices. We use a calibrated version of the model to quantify how the welfare costs of severe recessions are distributed across different household age groups. The model predicts that younger cohorts fare better than older cohorts when the equilibrium decline in asset prices is large relative to the decline in wages, as observed in the data. Asset price declines hurt the old, who rely on asset sales to finance consumption, but benefit the young, who purchase assets at depressed prices. In our preferred calibration, asset prices decline more than twice as much as wages, consistent with the experience of the US economy in the Great Recession. A model recession is approximately welfare-neutral for households in the 20-29 age group, but translates into a large welfare loss of around 10% of lifetime consumption for households aged 70 and over.