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Increased exposure to gender-role information affects a girl's educational performance. Utilizing the classroom randomization in Chinese middle schools, we find that the increased presence of stay-at-home peer mothers significantly reduces a girl's performance in mathematics. This exposure also cultivates gendered attitudes towards mathematics and STEM professions. The influence of peer mothers increases with network density and when the girl has a distant relationship with her parents. As falsification tests against unobserved confounding factors, we find that the exposure to stay-at-home peer mothers does not affect boys' performance, nor do we find that stay-at-home peer fathers affect girls' outcomes.
Nearly all states with public prekindergarten programs use mixed-delivery systems, with classrooms in both public schools and community-based settings. However, experts have long raised concerns about systematic inequities by setting within these public systems. We used data from five large-scale such systems that have taken steps to improve equity by setting (Boston, New York City, Seattle, New Jersey, and West Virginia) to conduct the most comprehensive descriptive study of prekindergarten setting differences to date. Our public school sample included 2,395 children in 383 classrooms in 152 schools, while our community-based sample is comprised of 1,541 children in 201 classrooms in 103 community-based organizations (CBOs). We examined how child and teacher demographic characteristics, structural and process quality features, and child gains differed by setting within each of these systems. We found evidence of sorting of children and teachers by setting within each locality, including of children with higher baseline skills and more educated teachers into public schools. Where there were differences in quality and children’s gains, these tended to favor public schools. The localities with fewer policy differences by setting – NJ and Seattle – showed fewer differences in quality and child gains. Our findings suggest that inequities by setting are common, appear consequential, and deserve more research and policy attention.
A student's class rank has important short and long-term effects on important educational outcomes. Despite our growing understanding of these rank effects, we still do not know how early in a child's academic career they begin. To address this, I use data from the Tennessee STAR project, which randomly assigned over 6,323 kindergarteners to classroom environments, to study the impact of kindergarten class rank on a host of short and long-run outcomes. I find a strong, causal relationship between one's kindergarten classroom rank and subsequent test scores, high school achievement and performance on college entrance exams. I also find that having a higher rank in kindergarten causes an increase in study effort, value of school and initiative in the classroom. I also leverage the design of project STAR to test various mechanisms and address several outstanding issues in the rank literature, including the role of tracking, parental effort and teacher-level characteristics in driving the effects of class rank.
Prior research has found that financial investments in North Carolina’s pre-kindergarten (pre-K) program generated positive effects on student reading and math achievement through eighth grade (Bai et al., 2020). The current study examined the interaction between NC Pre-K funding and two key dimensions of the subsequent educational environment students experience in their school districts: average achievement and achievement growth. In relation to student reading and math achievement in eighth grade, the benefits of NC Pre-K funding were found to be additive to the benefits of school-district average achievement. The benefits of NC Pre-K funding were also found to interact with the benefits of school-district achievement growth such that the NC Pre-K effect was larger in school districts with lower rates of growth in academic achievement. These findings suggest that public investments in early childhood education may be particularly beneficial in the long term for children who subsequently experience low-growth schooling environments compared to children in high-growth environments.
Nearly all studies of preschool’s long-run effects examine means-tested programs; little is known about the long-run effects of universal programs. A number of key differences—including population served, scale, and counterfactual options—may cause universal programs to have different effects than previously studied means-tested programs. Using a difference-in-differences framework, I estimate the effects of Georgia’s first-in-the-nation statewide universal pre-K program on adult educational attainment and employment. The program made children 4.5 percent more likely to graduate from high school and 13.7 percent more likely to obtain a bachelor’s degree (although the latter effect is imprecise). I find similar results in a supplemental analysis that uses the synthetic control method. I find no effects on associate degree attainment or employment.
High rates of teacher turnover in child care settings have negative implications for young children’s learning experiences and for efforts to improve child care quality. Prior research has explored the prevalence and predictors of turnover at the individual teacher level, but less is known about turnover at the center level – specifically, how turnover varies across child care centers or whether staffing challenges persist year after year for some centers. This study tracks annual turnover rates for all publicly funded child care centers that were continuously operating in Louisiana from the 2015-16 to 2018-19 school years (n=575 centers). We document high and variable turnover rates across centers throughout the state: The annual mean turnover rate was 40%, and each year nearly one-third of centers experienced high turnover, that is, lost more than half of their teachers. About 27% of centers experienced high turnover for multiple years in our panel, while 44% of centers did not experience high turnover in any year. Our findings underscore concerns that sustained staffing challenges may hinder efforts to provide high-quality child care.
Despite policy relevance, longer-term evaluations of educational interventions are relatively rare. A common approach to this problem has been to rely on longitudinal research to determine targets for intervention by looking at the correlation between children’s early skills (e.g., preschool numeracy) and medium-term outcomes (e.g., first-grade math achievement). However, this approach has sometimes over—or under—predicted the long-term effects (e.g., 5th-grade math achievement) of successfully improving early math skills. Using a within-study comparison design, we assess various approaches to forecasting medium-term impacts of early math skill-building interventions. The most accurate forecasts were obtained when including comprehensive baseline controls and using a combination of conceptually proximal and distal short-term outcomes (in the nonexperimental longitudinal data). Researchers can use our approach to establish a set of designs and analyses to predict the impacts of their interventions up to two years post-treatment. The approach can also be applied to power analyses, model checking, and theory revisions to understand mechanisms contributing to medium-term outcomes.
New York City’s Pre-K for All (PKA) is the Nation’s largest universal early childhood initiative, currently serving some 70,000 four-year-olds. Stemming from the program’s choice architecture as well as the City’s stark residential segregation, PKA programs are extremely segregated by child race/ethnicity. Our current study explores the complex forces that influence this segregation, including the interplay between family choices, seat availability, site-level enrollment priorities, and the PKA algorithm that weighs these and other considerations. We find that a majority of PKA segregation lies within rather than between local communities, suggesting that reducing segregation would not necessarily require families to choose programs far from home. On a more troubling note, areas with increased options and greater racial/ethnic diversity also exhibit the most extreme segregation.
This study assesses the effects of two text messaging programs for parents that aim to support the development of math skills in prekindergarten students. One program focuses purely on math, while the other takes an identical approach but focuses on a combination of math, literacy, and social-emotional skills. We find no evidence that the math-only program benefits children’s math development. However, the combination program shows greater promise, particularly for girls. Quantile regressions indicate that the effects are concentrated in the lower half of the outcome distribution. We discuss and provide evidence for various hypotheses that could explain these differences.
- We test the effects of two text messaging curricula that leverage behavioral economics principles to help parents support the math development of prekindergarteners in the home.
- We find that a program that cycles through literacy, mathematics, and social-emotional skills increases math achievement for girls, while a program focusing solely on mathematics has no effects.
- Benefits for girls are concentrated on those with weaker performance on mathematics assessments.
- We posit potential mechanisms based on the literature.