This paper is the first to use a randomized trial in the US to analyze the short- and long-term impacts of an after-school program that offered disadvantaged high-school youth: mentoring, educational services, and financial rewards to attend program activities, complete high-school and enroll in...

This paper reviews recent studies on the effectiveness of services and incentives offered to disadvantaged youth. We focus our analysis on three types of interventions: mentoring, educational services, and financial rewards. The objective of this article is threefold. First, we explain...

We present evidence on how The Quantum Opportunity Program (QOP hereafter) worked in the US. While the program was regarded as successful in the short-term, in the long-run its educational results were modest and its effects on risky behaviors detrimental. Exploiting control group's...

Using administrative data merged with a rich student survey collected during the summer of 2020, we document the immediate and short-term educational, financial, and personal burdens of New York city's low-income public university students during the COVID-19 pandemic, the closing of college...

Using an unbalanced panel of close to 12,000 academic records, and difference-in-differences models and event study analyses with individual fixed effects, we evaluate the impact of the COVID-19 pandemic on lower-income students' academic performance during the spring 2020 semester relative to...

Using Difference-in-Differences models and event-study analysis, we estimate the impact of an exogenous increase in income on the incidence and intensity of intimate partner violence (IPV). Using National Crime Victimization Survey data from 1992 to 2000, we exploit time and family-size...

This paper reviews recent studies on the effectiveness of services and incentives offered to disadvantaged youth. We focus our analysis on three types of interventions: mentoring, educational services, and financial rewards. The objective of this article is threefold. First, we explain...