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Inequality

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The pivotal role of Algebra in the educational trajectories of U.S. students continues to motivate controversial, high-profile policies focused on when students access the course, their classroom peers, and how the course is taught. This random-assignment partnership study examines an innovative district-level reform—the Algebra I Initiative—that placed 9th-grade students with prior math scores well below grade level into Algebra I classes coupled with teacher training instead of a remedial pre-Algebra class. We find that this reform significantly increased grade-11 math achievement (ES = 0.2 SD) without lowering the achievement of classroom peers eligible for conventional Algebra I classes. This initiative also increased attendance, district retention, and overall math credits. These results suggest that higher expectations for the lowest-performing students coupled with aligned teacher supports is a promising model for realizing students’ mathematical potential.

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U.S. public schools are engaged in an unprecedented effort to expand tutoring in the wake of the COVID-19 pandemic. Broad-based support for scaling tutoring emerged, in part, because of the large effects on student achievement found in prior meta-analyses. We conduct an expanded meta-analysis of 265 randomized control trials and explore how estimates change when we better align our sample with a policy-relevant target of inference: large-scale tutoring programs in the U.S. aiming to improve standardized test performance. Pooled effect sizes from studies with stronger target-equivalence remain meaningful but are only a third to a half as large as those from our full sample. This result is driven by stark declines in pooled effect sizes as program scale increases. We explore four hypotheses for this pattern and document how a bundled package of recommended design features serves to partially inoculate programs from these attenuated effects at scale. 

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Using data from the National Longitudinal Study of Youth 1997, we examine differences in educational experiences and in social and economic mobility for youths experiencing poverty relative to their more affluent peers. We also explore the extent to which different educational experiences are associated with greater mobility for students experiencing poverty. We find that youths from poverty are less than half as likely as their more affluent peers to earn a living wage, reach the top quartile of income, or attain a high level of economic wellbeing and stability. They also have less educational opportunity in their youth, particularly when it comes to academic experiences. Meanwhile, the educational experiences where there are the largest inequities are also the ones that are most predictive of long-term mobility for students from poverty, suggesting that having the opportunity to do well in school may help young people improve their economic standing and achieve broader levels of wellbeing later in life. At the same time, students experiencing poverty who have exceptional academic outcomes on average still do not manage to exceed the average adult income of the typical student not coming from poverty. Altogether, our findings point to both the importance and inadequacy of academic experiences for breaking the cycle of intergenerational poverty.

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Bruce D. Baker.

This article provides a review of prior empirical work exploring whether and to what extent school district racial composition affects the costs associated with providing equal educational opportunity to achieve a common set of outcomes. This prior work mainly involves education cost function modeling, on several specific states and in an earlier version of our national education cost model. Here, we update the national education cost model and apply a series of tests for selecting the optimal cost model and determining a) whether it is necessary to retain measures of racial composition in the model and b) the effect those measures have on the estimated costs to achieve common outcomes. We find that the optimal model includes an interaction term between % enrollment that is black and population density and that for majority Black enrollment urban districts, the predicted costs per pupil are 20 to 50% higher when using models with this measure than when using models with race neutral alternatives. While changes in cost estimates for these districts are large, aggregate national cost increases from including racial composition are 1.3 to 2.7% in most years.

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Across the United States, suspension bans have become a popular policy response to address excessive and inequitable use of suspension in schools. However, there is little research that examines what strategies school staff employ when suspension is no longer permitted. I examine the effect of New York City’s suspension ban on the use of a potential unintended substitute for suspension: special education classification. Using a dosage difference-in-differences strategy, I find that the ban induced an increase in disability classifications at high risk for classroom exclusion. I show that, on average, students with these classifications in schools with high pre-policy reliance on suspension experienced large declines in test scores, whereas general education students experienced slight test score improvements. Notably, I show that these declines are not due to new, ban-induced classifications actively harming student achievement. These results underscore the importance of considering unintended consequences and vulnerable groups when employing a seemingly "costless" and popular policy lever to reduce schools’ reliance on suspension.

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During the 2015-16 academic year, racial protests swept across college campuses in the U.S. These protests were followed by large university investments in initiatives to promote diversity, which combined with existing diversity dynamics, have helped to shape recent faculty diversity trends. We document diversity trends among faculty in STEM and non-STEM fields since the protests in 2015-16. We find that recent diversity trends are narrowing the gender gap among faculty in STEM and non-STEM fields, but widening racial-ethnic gaps, especially among Black faculty. A large body of prior research suggests these trends will affect students’ college experiences and how they choose majors.

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Inequality in college has both structural and psychological causes; these include the presence of self-defeating beliefs about the potential for growth and belonging. Such beliefs can be addressed through large-scale interventions in the college transition (Walton & Cohen, 2011; Walton et al., 2023) but are hard to measure. In our pre-registered study, we provide the strongest evidence to date that the belief that belonging challenges are common and tend to improve with time (“a process-oriented perspective”), the primary target of social-belonging interventions, is critical. We did so by developing and applying computational language measures to 25,000 essays written during a randomized trial of this intervention across 22 broadly representative US colleges and universities (Walton et al., 2023). We compare the hypothesized mediator to one of simple optimism, which includes positive expectations without recognizing that challenges are common. Examining the active control condition, we find that socially disadvantaged students are, indeed, significantly less likely to express a process-oriented perspective spontaneously, and more likely to express simple optimism. This matters: Students who convey a process-oriented perspective, both in control and treatment conditions, are significantly more likely to complete their first year of college full-time enrolled and have higher first-year GPAs, while simple optimism predicts worse academic progress. The social-belonging intervention helped distribute a process-oriented perspective more equitably, though disparities remained. These computational methods enable the scalable and unobtrusive assessment of subtle student beliefs that help or hinder college success.

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We examine the impact of local labor market shocks and state unemployment insurance (UI) policies on student discipline in U.S. public schools. Analyzing school-level discipline data and firm-level layoffs in 23 states, we find that layoffs have little effect on discipline rates on average. However, effects differ across the UI benefit distribution. At the lowest benefit level ($265/week), a mass layoff increases outof- school suspensions by 5.1%, with effects dissipating as UI benefits increase. Effects are consistently largest for Black students —especially in predominantly White schools —resulting in increased racial disproportionality in school discipline following layoffs in low-UI states.

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Catholic schools have seen more than a 30% decline in enrollment over the past 20 years. While some of the decline in enrollment may have been spurred by secular trends or the Church abuse scandal, the increase in schools of choice, principally public charter schools, may explain at least some of this decline. In this paper we estimate the effect of the opening of charter schools in proximity to Catholic schools across the entire U.S. We find that the opening of a nearby charter school has a negative impact on Catholic school enrollment and increases the likelihood that the school will close. We also find that charter openings induce greater racial isolation. Findings are especially pronounced in K8 schools, rather than high schools.

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Briana Ballis.

Racial disparities in infant health conditions have persisted for decades. However, there is surprisingly limited evidence regarding the long-term consequences of these disparities. Using novel linked administrative data from Texas and the shift to Medicaid Managed Care (MMC), I show that MMC-driven declines in infant health worsened cognitive and noncognitive outcomes for Black children, while MMC-driven enhancements in infant health improved noncognitive outcomes and educational attainment for Hispanics. Effects concentrate in low-value added districts for either demographic, suggesting that the long run impacts of changes to early life health conditions are more pronounced in less effective schools for one’s demographic. 

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