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...

We study the design of nonlinear reimbursement rules for expenses on secondary preventive and on therapeutic care. With some probability individuals are healthy and do not need any therapeutic health care. Otherwise they become ill and the severity of their disease is realized and identifies...

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)...

The primary goal of living crossover kidney donation is to overcome medical incompatibility between donor and recipient through organ exchange and thereby increase the number of kidney transplants. Internationally, a number of best practices have been established on which our statement and...

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...

We study the design of nonlinear reimbursement rules for expenses on secondary preventive and on therapeutic care. With some probability individuals are healthy and do not need any therapeutic health care. Otherwise they become ill and the severity of their disease is realized and identifies...

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...