Sundar Ponnusamy

We examine the association between ethnic inequality and various key health outcomes for a global set of developed and developing countries. Our results show that higher ethnic inequality is associated with a poor state of public health, such as higher child and maternal mortality, increased stillbirths and child stunting, and reduced life expectancy at birth. This set of effects is found to be predominant mainly in developing countries, and Sub‐Saharan African countries. Results remain robust to the inclusion of various other measures of inequality, ethnic composition indices, geographic endowments, and other relevant controls. We argue that lower contraceptive usage and poor vaccination rates are potential mechanisms through which ethnic inequality affects health outcomes. Policies targeted at improving public health may need to focus more on these key intermediate channels in ethnic minority regions.

I study the effect of rainfall shocks on child mortality at a sub‐national level for a global set of developing countries. I establish that negative (positive) shocks to rainfall lead to an increase (drop) in child deaths overall. Low‐income countries (LICs) and the group of countries reliant on agriculture are affected the most due to negative rainfall shocks. In LICs, the impact of negative rainfall shocks is mitigated by around 60% in districts located downstream to dams, an effect predominant among less affluent districts; in addition, the effect of rainfall fluctuations is persistent, lasting for up to three years following the shock. Results remain robust to the inclusion of relevant controls, to the consideration of relevant issues such as selective fertility and migration, and various other robustness tests.

Using an exogenous measure of natural disasters based on physical intensities, I examine their impact on child mortality. I find that children, mostly, in poor countries are affected — a one standard deviation increase in the natural disaster index leads to an additional 6.77 deaths per 1000 live births in the disaster year. The impact is long lasting, extending beyond the disaster year. I provide suggestive evidence of the potential mechanisms driving these effects, namely, lower GDP and vaccination rates among children, along with an increased maternal mortality and disease incidence in low‐income countries due to disasters. Using an endogenous measure of disasters based on damage records from insurance data leads to severe underestimation of the disaster impact. The results are robust to the use of mortality rates from multiple sources, different functional forms, and an extensive dynamic panel specification as well as various other tests.