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We estimate long-run trends in intergenerational relative mobility for representative samples of the U.S. - born population. Harmonizing all surveys that include father's occupation and own family income, we develop a mobility measure that allows for the inclusion of non-whites and women for the 1910s-1970s birth cohorts. We show that mobility increases between the 1910s and 1940s cohorts and that the decline of Black-white income gaps explains about half of this rise. We also find that excluding Black Americans, particularly women, considerable overstates the level of mobility for twentieth-century birth cohorts while simultaneously understating its increase between the 1910s and 1940s.

We use linked parent-child administrative data for five countries in North America and Europe, as well as detailed survey data for two more, to investigate methodological challenges in the estimation of absolute income mobility. We show that the commonly used "copula and marginals" approximation methods perform well across countries in our sample, and the greatest challenges to their accuracy stem not from assumptions about relative mobility rates over time but from the use of nonrepresentative marginal income distributions. We also provide a multicountry analysis of sensitivity to specification decisions related to age of income measurement, income concept, family structure, and price index.

Understanding the roots of violent and criminal behaviour is crucial for developing effective prevention and intervention strategies. A large body of research has highlighted the complex interplay between genetic, environmental, and psychological factors in explaining such behaviours. This project will focus the long-term consequences of early exposure to abuse and violence.

Our project advances the hypothesis that financial literacy could be one of the factors responsible for the gender gap in wealth, as financial knowledge helps individuals accumulate wealth, but women tend to be less financially literate than men.

In this project we study ethnic discrimination by states as an organizational problem. To do so, we have collaborated with Peru's anti-corruption agency to accurately characterize differential treatment of public officials.

Are slums stepping-stones to better lives or poverty traps? To do so, we will leverage unique administrative data from Brazil alongside an intergenerational quantitative urban model which integrates human capital investment decisions and thus social mobility.

We use high‐frequency data on fine particulate matter air pollution (PM 2.5) at the locality level to study the effects of high pollution on daily labor supply decisions in the metropolitan area of Mexico City. We document a negative, non‐linear relationship between PM 2.5 and same‐day labor supply, with strong effects on days with extremely high pollution levels. On these days, the average worker experiences a reduction of around 7.5% of working hours. Workers partially compensate for lost hours by increasing their labor supply on days that follow high‐pollution days. We find that low‐income workers reduce their labor supply significantly less than high‐income workers. Unequal responses to high pollution along other dimensions (job quality, flexibility, gender) matter, but less than income. We provide suggestive evidence that reductions in labor supply due to high pollution are consistent with avoidance behavior.

This project studies the distributional effects of international trade policies and shocks via their impact on consumer prices, which may be different across consumer groups who have different consumption baskets.

The main focus of my research is the question of what makes some schools more effective in helping pupils to make academic progress.

Telehealth connects patients to qualified health care professionals via phone. Although its popularity dramatically increased since the onset of the COVID-19 pandemic, there is limited rigorous evidence of its impact, and no impact of its effect in low-income countries. This project investigates the long-term effects of telehealth on health services and outcomes, as well as the impact across gender, income and age groups.