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...

This paper sheds light on a neglected reason for women's underrepresentation in politics: crisis-induced gender gaps in incumbents' reelection with lasting negative effects on female representation. We use hand-collected data on 173,339 candidates in open-list local council elections (1997-2021)...

Using data from the Panel Study of Income Dynamics, we estimate the impact of breastfeeding initiation and duration on multiple cognitive, health, and behavioral outcomes spanning early childhood through adolescence. To mitigate the potential bias from misspecification, we employ a doubly robust...

This paper reviews the history of the practice of quarantines, rediscovering the 19th century 'Sanitarian' movement in Britain that sprang from a recognition that quarantines had failed to stop the spread of diseases and were not cost-effective. To our knowledge, the key figure among the...

Using data from the Panel Study of Income Dynamics, we estimate the impact of breastfeeding initiation and duration on multiple cognitive, health, and behavioral outcomes spanning early childhood through adolescence. To mitigate the potential bias from misspecification, we employ a doubly robust...

This paper sheds light on a neglected reason for women's underrepresentation in politics: crisis-induced gender gaps in incumbents' reelection with lasting negative effects on female representation. We use hand-collected data on 173,339 candidates in open-list local council elections (1997-2021)...

This paper reviews the history of the practice of quarantines, rediscovering the 19th century 'Sanitarian' movement in Britain that sprang from a recognition that quarantines had failed to stop the spread of diseases and were not cost-effective. To our knowledge, the key figure among the...

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...

Exploiting future exposure to job termination in the UK, this paper finds that sharply increased job loss expectations before job termination significantly increase mental distress. This anticipation effect is largest in tight labor markets but does not spill over within couples. In contrast,...