Good mental health is a vital part of people's well-being and essential for individuals and societies to thrive. The recognition that successful mental health strategies need to involve a range of sectors beyond health is not new, yet in practice coalition-building often remains limited and not...

We examine an assumed link between reducing inequality in income distribution, namely reducing the Gini coefficient on one hand, and improving public health in general and lowering the incidence and severity of COVID-19 in particular on the other hand. The Gini coefficient can be shown to...

We examine an assumed link between reducing inequality in income distribution, namely reducing the Gini coefficient on one hand, and improving public health in general and lowering the incidence and severity of COVID-19 in particular on the other hand. The Gini coefficient can be shown to...

Millions Saved (2016) is a new edition of detailed case studies on the attributable impact of global health programs at scale. As an input to the book, this paper provides an independent assessment of the cost-effectiveness of a selection of the cases using ex post information from impact...

Early life shocks result in physiological changes that allow infants and children to adapt to surrounding environments. We examine the implications of one form of biological adaptation - immune system learning - for human capital formation. Using two case studies, where interventions to reduce...

Without any intervention, the novel coronavirus would cost the U.S. economy over $9 trillion. A suppression policy aims to reduce the number of new cases through strict social distancing measures by closing schools and non-essential businesses. Less restrictive, a mitigation policy aims to...

It is politicians who have to decide when to release the lockdown, and in what way. In doing so, they have to balance many considerations (as with any decision). Often the different considerations appear incommensurable so that only the roughest of judgements can be made. For example, in the...

Recentered influence functions (RIFs) are statistical tools popularized by Firpo, Fortin, and Lemieux (2009) for analyzing unconditional partial effects on quantiles in a regression analysis framework (unconditional quantile regressions). The flexibility and simplicity of these tools has opened...