A core challenge for healthcare systems is ensuring timely care for critical conditions while efficiently managing lower-complexity cases. Hospitals, often overburdened by both, struggle to balance these demands and allocate resources effectively. Many countries have responded by introducing alternative 24/7 facilities to relieve hospital strain and improve patient outcomes, yet evidence on their impact remains limited. We evaluate the introduction of freestanding Emergency Care Centers (UPAs) within Brazil’s publicly funded health system, leveraging rich administrative data. We find that UPAs reduced hospital outpatient procedures by 30% and hospital admissions for ambulatory-sensitive conditions by 24–37%, enabling hospitals to focus on more complex cases, such as surgeries and obstetric admissions, which increased by 25%. We see a 13% reduction in inpatient mortality, particularly in intensive care and for conditions best suited to hospital treatment. While some deaths were displaced to UPAs, there was a decline in population-level mortality of 1.8%, albeit this is not statistically significant. Our findings show how an intermediate tier of emergency care reshapes patient sorting, alleviates hospital congestion, and improves hospital performance in an overstretched public health system.
Using Danish administrative data linked to two independent, validated postpartum depression screenings, we study how postpartum mental health shocks shape women’s labor market trajectories. Event-study estimates show no pre-birth differences in trends between depressed and non-depressed mothers, but persistent employment gaps that widen immediately after birth. Health-care utilization patterns indicate that these differences reflect acute mental health shocks rather than pre-existing trends. The penalties are concentrated among less educated mothers and those in less family-friendly jobs. Our results highlight postpartum depression as a meaningful and unequal contributor to the motherhood penalty.
We leverage the introduction of the first antibiotic therapies in 1937 to examine the long run effects of early childhood pneumonia on adult educational attainment, employment, income, and work-related disability. Using census data, we document large average gains on all outcomes, alongside substantial heterogeneity by race and gender. On average, Black men exhibit smaller schooling gains than white men but larger employment and earnings gains. Among Black men (and women), we identify a pronounced gradient in gains linked to systemic racial discrimination in the pre–Civil Rights era: individuals born in more discriminatory Jim Crow states realized much smaller gains than those born in less discriminatory states. There is no similar gradient among white Americans. Women of both races exhibit smaller education and earnings gains than men on average, consistent with cultural and institutional barriers to women’s work. Our findings highlight the role of opportunities in shaping the extent to which investments in early-life health translate into longer run economic gains.
Looking at the earnings profiles of men and women after their first child is born, a number of studies establish that women suffer a larger penalty in earnings than men—a child penalty. Leveraging randomness in the sex of the first birth, we show that the child penalty in the UK is larger when the first born child is a girl. We label this the daughter penalty. Exploiting rich longitudinal survey data, we examine behavioural responses to the birth of a daughter vs. a son to illuminate the underpinnings of the daughter penalty. We find that the birth of a daughter triggers more household specialisation than the birth of a son, with mothers taking on a larger share of household chores and childcare. Mothers suffer a daughter penalty in mental health, while fathers report more satisfaction with their relationship. Our findings imply that girls and boys in the UK are, on average, growing up in different home environments, with girls growing up in households that, by multiple markers, are more gender-regressive. This is potentially a mechanism for the inter-generational transmission of gendered norms.
Mental health disorders tend to emerge in childhood, with half starting by age 14. This makes early intervention important, but treatment rates are low, and antidepressant treatment for children remains controversial since an FDA warning in 2004 that highlighted adverse effects. Linking individuals across Danish administrative registers, we provide some of the first evidence of impacts of antidepressant treatment in childhood on objectively measured mental health indicators and economic outcomes over time, and the first attempt to investigate under- vs overtreatment. Leveraging conditional random assignment of patients to psychiatrists with different prescribing tendencies, we find that treatment during ages 8-15 improves test scores at age 16, particularly in Math, increases enrollment in post-compulsory education at age 18, and that it leads to higher employment and earnings and lower welfare dependence at ages 25–30. We demonstrate, on average, a reduction in suicide attempts, self-harm, and hospital visits following AD initiation. The gains to treatment are, in general, larger for low SES children, but they are less likely to be treated. Using a marginal treatment effects framework and Math scores as the focal outcome, we show positive returns to treatment among the untreated. Policy simulations confirm that expanding treatment among low SES children (and boys) generates substantial net benefits, consistent with under-treatment in these groups. Our findings underscore the potential of early mental health treatment to improve longer term economics outcomes and reducing inequality.
This paper introduces and validates a novel approach to measuring management skills. In a large pre-registered lab experiment we causally identify managerial contributions by randomly assigning managers to multiple teams and controlling for differences in individual skill. We find that manager contributions matter greatly for team success, and that people who want to be in charge perform worse than randomly assigned managers. Managerial performance is strongly predicted by economic decision-making skill, but not by demographic characteristics. LinkedIn data show that participants who succeed in the lab are substantially more likely to receive real-world promotions. We also measure the skills of store managers in a large retail firm and find that they predict store sales and other correlates of productivity, which aligns with our experimental results. A one standard deviation increase in manager quality increases annual per-store sales by $4.1 million USD (25% increase). Selecting managers on skills rather than demographic characteristics.