We use responses to a survey and experiment with participants in Mexico's privatized social security system to examine how financial literacy impacts workers' choice behavior and how simplifying information on management fees may increase measures of price elasticity sensitivity among the...

We analyze two experiments that provided direct information on school test scores to lower-income families in a public school choice plan. We find that receiving information significantly increases the fraction of parents choosing higher-performing schools. Parents with high-scoring alternatives...

This paper examines the importance of income effects in purchase decisions for every-day products by analyzing the effect of gasoline prices on grocery expenditures. Using detailed scanner data from a large grocery chain as well as data from the Consumer Expenditure Survey (CES), we show that...

Several recent education reform measures, including the federal No Child Left Behind Act (NCLB), couple school choice with accountability measures to allow parents of children in under-performing schools the opportunity to choose higher-performing schools. We use the introduction of NCLB in the...

The incentives and outcomes generated by public school choice depend to a large degree on parents' choice behavior. There is growing empirical evidence that low-income parents place lower weights on academics when choosing schools, but there is little evidence as to why. We use a field...

This paper combines a model of parental school choice with randomized school lotteries in order to understand the effects of being assigned to a first-choice school on academic outcomes. We outline a simple framework in which those who place the highest weight on academics when choosing a school...

There is little causal evidence on the effect of economic and policy outcomes on voting behavior. This paper uses randomized outcomes from a school choice lottery to examine if lottery outcomes affect voting behavior in a school board election. We show that losing the lottery has no significant...

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...

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 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...