This study employs six Machine Learning methods - Logit, Lasso-Logit, Ridge-Logit, Random Forest, Extreme Gradient Boosting, and an Ensemble - alongside registry data on abortions in Spain from 2011-2019 to predict multiple abortions and assess monetary savings through targeted interventions. We...

I evaluate the impact of abortion policies in sub-Saharan Africa to understand possible consequences from a reduced international support for women's rights following the overturn of Roe v. Wade. I find that decriminalizing abortion reduces fertility through two complementary channels. For...

Although abortion trends can be highly informative for understanding fertility reactions amid COVID-19 pandemic, this perspective is rarely taken yet. In contrast to many other countries, Germany has reached above-average fertility rates in the first years of the pandemic. However, in-depth...

Sex ratios at birth shape populations and are linked to maternal health and gender discrimination. We estimate the effect of prenatal temperature exposure on birth sex by linking data on 5 million births in 33 sub-Saharan African countries and India with high-resolution temperature data. We find...