I analyze the effects of short-duration paid parental leave on maternal labor supply. Using monthly longitudinal data from the Survey of Income and Program Participation, my event-study research design estimates impacts of paid leave laws in California and New Jersey on women's labor-force outcomes around childbirth. I find that paid leave laws are associated with a substantial increase in labor-force attachment in the months directly around birth. While US-style short-duration leave is unlikely to change prolonged exits from the labor force, my findings imply that paid leave laws induce some women stay more attached to jobs, particularly low-skill women.

We examine the effect of forest loss around the time of birth on infant mortality and the early childhood health of children in rural Nigeria. We find that forest loss leads to an increase in neonatal mortality—one standard deviation of forest loss is associated with a 9%–15% increase in the likelihood of death within the first month of life. The mechanism linking forest loss to infant death is maternal exposure to malaria when the child is in utero. Such exposure also results in worse birth outcomes, proxied by lower weight-for-age and height-for-age of surviving infants.

It is estimated that about one quarter of the global disease burden in terms of healthy life years lost and about one quarter of all premature deaths can be attributed to modifiable environmental factors (Pruss-Ustun and Corvalan 2006). Three infectious diseases--diarrhea, respiratory infections, and malaria--account for the largest absolute burden in developing countries with children facing the greatest impacts. There is a growing body of evidence demonstrating the health burden of air and water pollution, as well as important productivity and income effects (see, for example, reviews of the literature in Pattanayak and Pfaff 2009 and Greenstone and Jack 2016). Studies that focus on the impacts of natural resource degradation are fewer. Notably, Garg (2016) provides the first causal estimates of the impact of sustained forest cover on reduced malarial incidence in Indonesia, demonstrating a large and previously understudied cost of forest cover loss. In this paper, we extend this new literature on the health impacts of environmental degradation by estimating the causal impact of forest loss on infectious disease incidence in young children using temporal and spatial variation in the last decade in Nigeria. Our estimation strategy involves geolinking a new high-resolution dataset of global forest change to child-level health data from the Nigeria Demographic and Health Surveys from 2008 and 2013. We find that forest loss significantly increases the incidence of malaria, though it does not affect the incidence of diarrhea and respiratory diseases. The impact of forest loss on malaria is large (one standard deviation of forest loss increases malaria incidence by around 4.5 percent in children under five) and the dynamic pattern of the impact suggests a temporary ecological disturbance consistent with findings in Garg (2016) and the tropical medicine literature.