Armed conflicts pose significant challenges for the international community. They prevent countries from developing, lead to a persistent outflow of refugees, and have a significant death-toll. For this reason, the ability of policymakers to prevent outbreaks and escalations is crucial. However, it is not an easy task.
Elizabeth M. Caucutt, Nezih Guner, and Christopher Rauh use a new model to address the question of what drives the marriage gap between black and white women in the United States.
Hannes Mueller and Christopher Rauh present a new method of predicting conflict through news topics which are generated automatically from a topic model.