Over the past decade, U.S. immigration enforcement policies have increasingly targeted unauthorized immigrants residing in the U.S. interior, many of whom are the parents of U.S.-citizen children. Heightened immigration enforcement may affect student achievement through stress, income effects, or student mobility. I use one immigration enforcement policy, Secure Communities, to examine this relationship. I use the staggered activation of Secure Communities across counties to measure its relationship with average achievement for Hispanic students, as well as non-Hispanic Black and White students. I find that the activation of Secure Communities was associated with decreases in average achievement for Hispanic students in English Language Arts as well as Black students in English Language Arts and math. Similarly, I find that increases in removals are associated with decreases in achievement for Hispanic and Black students. I note that the timing of rollout is potentially correlated with other county trends affecting results.

This brief provides a systemwide look at early childhood teacher turnover using data from all publicly funded, center-based early childhood programs in Louisiana, including subsidized child care, Head Start, and pre-kindergarten. It provides new evidence on the prevalence of turnover and explores whether teachers who leave differ from those who stay on a widely used measure of teacher–child interaction quality. Results show that more than one third of teachers leave their program from one year to the next, and the vast majority of teachers who leave are not teaching in another program the following year. Turnover rates are higher among teachers working in child care and with younger children. Compared with teachers who stay, those who leave are rated lower on interaction quality.

With increasing awareness of the importance of teacher quality for student learning, education policy leaders have turned their attention to the nation’s teacher training programs as a potential target for reform. One proposed strategy is to increase competition for university-based programs by encouraging new program types. This study examines the relative effectiveness of universities and new program types using the diverse market in Texas. We examine program effectiveness through a framework integrating certificate pathways, organizational goals, and market incentives. We find that independent nonprofits have positive effects on student performance in math that are not explained by teacher sorting or program selectivity. Effects of program types vary across student and school demographics, and some types are particularly effective with high-risk populations. However, some program types are not available to all schools, and thus small differences between program types do not justify focusing reforms on any one type of program.

Although social policies aimed at low-income families are thought to promote children's educational success, little research has examined how these policies are related to children's academic achievement. This article focuses on the Supplemental Nutrition Assistance Program (SNAP), the United States' largest food assistance program. Using administrative data on over 148,000 SNAP-receiving public school children, we analyze the recency of SNAP benefit transfer and children's end-of-grade math and reading achievement test scores. Results indicate differences in students' math and reading performance based on the recency of SNAP benefit transfer. Although the relationship is stronger for reading than for math, the relationship between students' test scores and SNAP transfer is roughly curvilinear. Test scores peak in the third week following benefit transfer.

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