Knowledge that Transforms

International audience

I investigate the link between access to the contraceptive pill, mental health, education, and labor market outcomes. Liberalizing education and labor market effects of access to the pill via its fertility control function are well established. More recently, however, a medical literature suggests a link between hormonal contraception and depression. Exploiting variation in access to the pill, I document substantial mental health effects of the pill. These mental health effects are driven by individuals with a genetic predisposition for depression who then do not experience the positive effects on education and labor market outcomes.

Domestic outsourcing has grown substantially in developed countries over the past two decades. This paper addresses the question of the technological drivers of this phenomenon by studying the impact of the staggered diffusion of broadband internet in France during the 2000s. Our results confirm that broadband technology increases firm productivity and the relative demand for high-skill workers. Further, we show that broadband internet led firms to outsource some non-core occupations to service contractors, both in the low and high-skill segments. In both cases, we find that employment related to these occupations became increasingly concentrated in firms specializing in these activities, and was less likely to be performed in-house within firms specialized in other activities. As a result, after the arrival of broadband internet, establishments become increasingly homogeneous in their occupational composition. Finally, we provide suggestive evidence that high-skill workers experience salary gains from being outsourced, while low-skill workers lose out.

Most studies on the labor market effects of immigration use repeated cross-sectional data to estimate the effects of immigration on regions. This paper shows that such regional effects are composites of effects that address fundamental questions in the immigration debate but remain unidentified with repeated cross-sectional data. We provide a unifying empirical framework that decomposes the regional effects of immigration into their underlying components and show how these are identifiable from data that track workers over time. Our empirical application illustrates that such analysis yields a far more informative picture of immigration's effects on wages, employment, and occupational upgrading.

Children’s and parents’ incomes are highly correlated, yet little is known about how early-career shocks contribute to this correlation. This paper focuses on a consequential labor market shock: job loss. We document three new results. First, adult children born into the bottom 20% of the income distribution have double the unemployment following job loss compared with those from the top 20% and 154% higher earnings losses. Second, this increases the rank-rank correlation 30% for those impacted. Third, richer parents provide career opportunities to their adult children after job loss, consistent with advantages from wealthy parents persisting well into adulthood.

The US suffers from persistent regional disparities in employment rates. In principle, these disparities should be eliminated by population mobility. Can immigration fulfill this role? Remarkably, since 1960, I show that new migrants from abroad account for 40% of the average population response to these disparities - which vastly exceeds their historic share of gross migratory flows. But despite this, immigration does not significantly accelerate local population adjustment (or reduce local employment rate disparities), as it crowds out the contribution from internal mobility. Indeed, this crowd-out can help account for the concurrent decline in internal mobility. Finally, I attribute the “excess” foreign contribution to a local snowballing effect, driven by persistent local shocks and the dynamics of migrant enclaves. This mechanism raises challenges to the (pervasive) application of migrant enclaves as an instrument for foreign inflows. But rather than abandoning the instrument, I offer an empirical strategy (motivated by my model) to overcome these challenges; and I demonstrate its efficacy.

Class size reduction mandates are frequent and invariably justified by studies reporting positive effects on student achievement. Yet other studies report no effects, and the literature as a whole awaits correction for potential publication bias. Moreover, if identification drives results systematically, the relevance of individual studies will vary. We build a sample of 1,767 estimates collected from 62 studies and for each estimate codify 42 factors reflecting estimation context. We employ recently developed nonlinear techniques for publication bias correction and Bayesian model averaging techniques that address model uncertainty. The results suggest publication bias among studies featured in top five economics journals, but not elsewhere. The implied class size effect is zero for all identification approaches except Tennessee's Student/Teacher Achievement Ratio project. The effect remains zero for disadvantaged students and across subjects, school types, and countries.

There are 420 million young people in Africa today, and only one in three has a regular salaried job. We study how two common labor market interventions—vocational training and matching—affect the job search behavior of young workers. We do so by means of a field experiment tracking young job seekers for 6 years in Uganda’s main cities. Vocational training amplifies the job seekers’ initial optimism, leading them to search more intensively and toward high-quality firms. Adding matching has the opposite effect, plausibly because of low callback rates. These differences affect labor market outcomes in the long run.

Using text data from curricula of the entire Dutch vocational education system, we extract verbs and nouns to measure basic cognitive and cross-functional skills, such as social, technical and resource management skills. This method allows us to uncover, at a fine-grained level, the skills middle-educated students learn at school. We then estimate the returns to these skills. Results show that resource management and social skills have the highest return. Importantly, the returns to skills are strongly conditional on sorting mechanisms. Our results fit in the literature that highlights the demand for complex interactive skills in environments that require more coordination.

We examine the relationship between income volatility and life expectancy in mid-sized U.S. commuting zones between 2006 and 2014. We use a commercial dataset, InfoUSA, to measure income volatility which we link to estimates of life expectancy by gender, county, race, and income. We find that higher income volatility in a county is associated with lower life expectancy, but only at the bottom of the income distribution and primarily for non-Hispanic Whites. Though we cannot extrapolate our findings to individual-level relationships, we do link them to existing literatures on place-based differences in mortality and the relationship between volatility and health.