This paper measures impacts of removing children from families investigated for abuse or neglect. We use removal tendencies of child protection investigators as an instrument. We focus on young children investigated before age six and find that removal significantly increases test scores and...

Two competing explanations for why consumers have trouble with financial decisions are gaining momentum. One is that people are financially illiterate since they lack understanding of simple economic concepts and cannot carry out computations such as computing compound interest, which could...

This paper explores the relationship between the structure of the market for the refining and distribution of gasoline and the wholesale price of unbranded gasoline sold to independent gasoline retailers. Theoretically, the effect of an increase in vertical integration is ambiguous because...

We use detailed data from a large retail panel to study the effect of participation in the Supplemental Nutrition Assistance Program (SNAP) on the composition and nutrient content of foods purchased for at-home consumption. We find that the effect of SNAP participation is small relative to the...

This paper measures impacts of removing children from families investigated for abuse or neglect. We use removal tendencies of child protection investigators as an instrument. We focus on young children investigated before age 6 and find that removal significantly increases test scores and...

We study the effect of photo ID laws on voting using a difference-in-differences estimation approach around Rhode Island's implementation of a photo ID law. We employ anonymized administrative data to measure the law's impact by comparing voting behavior among those with drivers' licenses versus...

We use comprehensive administrative data from Rhode Island to measure the impact of early-life interventions for low birth weight newborns on later-life outcomes. We use a regression discontinuity design based on the 1,500-gram threshold for Very Low Birth Weight (VLBW) status. We show that...

Misuse of prescription opioids is a leading cause of premature death in the United States. We use new state government administrative data and machine learning methods to examine whether the risk of future opioid dependence, abuse, or poisoning can be predicted in advance of an initial opioid...

We use detailed data from a large retail panel to study the effect of participation in the Supplemental Nutrition Assistance Program (SNAP) on the composition and nutrient content of foods purchased for at-home consumption. We find that the effect of SNAP participation is small relative to the...