Research Database

Black Americans face higher cyclical unemployment risk than white Americans: job-finding rates during recessions are lower and the risk of becoming long-term unemployed is higher. Differences in unemployment risk across Black and white Americans imply that Black Americans optimally invest less in risky assets. We show that differences in unemployment risk can explain up to 90% of the gap in the stock market shares of Black and white portfolios, resulting in lower returns on wealth for Black Americans. Through this portfolio channel, adverse labor market conditions for Black Americans translate into lower wealth returns and exacerbate racial wealth inequality.

Spatial differences in labor market performance are large and highly persistent. Using data from the United States, Germany, and the United Kingdom, we document striking similarities across these countries in the spatial differences in unemployment, vacancies, and job filling, finding, and separation rates. The novel facts on the geography of vacancies and job filling are instrumental in guiding and disciplining the development of a theory of local labor market performance. We find that a spatial version of a Diamond-Mortensen-Pissarides model with endogenous separations and on-the-job search quantitatively accounts for all the documented empirical regularities. The model also quantitatively rationalizes why differences in job-separation rates have primary importance in inducing differences in unemployment across space while changes in the job-finding rate are the main driver in unemployment fluctuations over the business cycle.

We measure college graduate quality — the average human capital of a college’s graduates—using the average earnings of the college’s graduates adjusted to a common labor market. Our implementation uses the database of the website Glassdoor, which has the necessary information on earnings and education for non-migrants and migrants who graduate from roughly 3,300 colleges in 66 countries. Graduates of colleges in the richest countries have 50 percent more human capital than graduates of colleges in the poorest countries. Migration reinforces these differences. Poorer countries do not just lose a higher share of their skilled workers; their emigrants are highly positively selected on human capital. Finally, we show that these stocks and flows matter for growth and development by showing that college graduate quality predicts the share of a college’s students who become inventors, engage in entrepreneurship, and become top executives, both within and across countries.

We document four facts about the COVID-19 pandemic worldwide relevant for those studying the impact of non-pharmaceutical interventions (NPIs) on COVID-19 transmission. First: across all countries and U.S. states that we study, the growth rates of daily deaths from COVID-19 fell from a wide range of initially high levels to levels close to zero within 20-30 days after each region experienced 25 cumulative deaths. Second: after this initial period, growth rates of daily deaths have hovered around zero or below everywhere in the world. Third: the cross section standard deviation of growth rates of daily deaths across locations fell very rapidly in the first 10 days of the epidemic and has remained at a relatively low level since then. Fourth: when interpreted through a range of epidemiological models, these first three facts about the growth rate of COVID deaths imply that both the effective reproduction numbers and transmission rates of COVID-19 fell from widely dispersed initial levels and the effective reproduction number has hovered around one after the first 30 days of the epidemic virtually everywhere in the world. We argue that failing to account for these four stylized facts may result in overstating the importance of policy mandated NPIs for shaping the progression of this deadly pandemic.

Using linked employer-employee data from Brazil, we document a large gender pay gap due to women working at lower-paying employers with better amenities. To interpret these facts, we develop an equilibrium search model with endogenous firm pay, amenities, and employment. We provide a constructive proof of identification of all model parameters. The estimated model suggests that amenities are important for men and women, that compensating differentials explain half of the gender pay gap, and that there are significant output and welfare gains from eliminating gender differences. However, equal-treatment policies fail to achieve those gains.

In this appendix, we describe the numerical methods used to compute an equilibrium in the economy with an inelastic labor supply and in the economy with an elastic labor supply (i.e., our benchmark economy). Although the economy with inelastically supplied labor is a special case of the benchmark economy, the equilibrium in the inelastic labor supply case is much easier to compute and is therefore treated separately. In each case, we start with the consumer's problem, assuming the consumer takes prices as given. We then show how the equilibrium prices are determined. To verify that the methods work well with our problem, we apply them to some related test problems that have known solutions.

This paper presents a full characterization of the equilibrium value set of a Ramsey tax model. More generally, it develops a dynamic programming method for a class of policy games between the government and a continuum of consumers. By selectively incorporating Euler conditions into a strategic dynamic programming framework, we wed two technologies that are usually considered competing alternatives, resulting in a dramatic simplification of the problem.