We study the determinants of season of birth of the first child, for white married women aged 25-45 in the US, using birth certificate and Census data. We also analyze stated preferences for season of birth using our own Amazon Mechanical Turk survey. The prevalence of quarters 2 and 3 is...

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...

We use a unique data set of linked birth records from Florida to analyze the intergenerational transmission of health at birth by parental gender. We show that both paternal and maternal birth weights significantly predict the child's birth weight even after accounting for all genetic and...

We study the effects of terrorism in Spain on birth outcomes, focusing on terrorism perpetrated by ETA, combining information on the number of bomb casualties from The Victims of ETA Dataset with the individual birth records from the national registry of live births in Spain, elaborated by the...

This study analyzes the marriage-market aspects of season of birth in the United States, estimating whether and how marital status is related to quarter of birth by gender and race, also incorporating cohabitation as a separate relationship status. For couples, additional analysis considers who...

Legalization of abortion in the 1970s represents a major cultural change: it gives women a higher degree of freedom to directly control their fertility, allowing them to ultimately decide upon children without man's consent and to decrease uncertainty in their expected labor market returns. This...