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Inequality
The National Assessment of Educational Progress (NAEP) has tested the civic, or citizenship knowledge of students across the nation at irregular intervals since its very inception. Despite advancements in reading and mathematics, evidenced by results from the National Assessment of Educational Progress (NAEP), civics proficiency has remained consistently low, which raises concerns among educators and policymakers. This study attempts to provide those educators and policymakers with state-level predictions, not currently provided for the civics assessment. This research addresses this gap in state-level civics education data by applying multilevel regression with poststratification (MRP) to NAEP's nationally representative civics scores, yielding state-specific estimates that account for student demographics. A historical analysis of NAEP's development underscores its significance in national education and highlights the challenges of transitioning to state-level reporting, particularly for civics, which lacks state-level generalizability. Furthermore, this paper evaluates NAEP's frameworks, questioning their alignment with civics education's evolving needs, and investigates the presence of opportunity gaps in civics knowledge across gender and racial/ethnic lines. By comparing MRP estimates with published NAEP results, the study validates the method's credibility and emphasizes the potential of MRP in educational research. The findings reveal persistent racial/ethnic disparities in civic knowledge, with profound implications for civics instruction and policy. The research concludes by stressing the necessity for state-specific data to inform education policy and practice, advocating for teaching methods that enhance civic understanding and engagement, and suggesting future research directions to address the uncovered disparities.
This study investigates the role of college major choices in labor market outcomes, with a focus on racial minorities and immigrants. Drawing upon research on school-to-work linkages, we examine two measures, linkage, the connection between college majors and specific occupations in the labor market, and match, the alignment of workers’ occupations with their college majors. Analyzing data from the American Community Survey, 2013-2017, we show that linkage positively predicts earnings, particularly for workers in matched occupations, and negatively predicts unemployment. Notably, Black, Hispanic, and foreign-born workers in matched occupations benefit more from linkage strength than their White and U.S.-born counterparts. This advantage is more pronounced in states that are popular destinations for immigrants. Our findings suggest that earnings and unemployment disparities experienced among racial minorities and immigrants may diminish if they pursue majors closely tied to jobs in the labor market and secure jobs related to their college majors.
This paper studies the causal impacts of public universities on the outcomes of their marginally admitted students. I use administrative admission records spanning all 35 public universities in Texas, which collectively enroll 10 percent of American public university students, to systematically identify and employ decentralized cutoffs in SAT/ACT scores that generate discontinuities in admission and enrollment. The typical marginally admitted student completes an additional year of education in the four-year sector, is 12 percentage points more likely to earn a bachelor's degree, and eventually earns 5-10 percent more than their marginally rejected but otherwise identical counterpart. Marginally admitted students pay no additional tuition costs thanks to offsetting grant aid; cost-benefit calculations show internal rates of return of 19-23 percent for the marginal students themselves, 10-12 percent for society (which must pay for the additional education), and 3-4 percent for the government budget. Finally, I develop a method to disentangle separate effects for students on the extensive margin of the four-year sector versus those who would fall back to another four-year school if rejected. Substantially larger extensive margin effects drive the results.
This study examines the impact of special education on academic and behavioral outcomes for students with learning disabilities (LD) by using statewide Indiana data covering kindergarten through eighth grade. The results from student fixed effects models show that special education services improve achievement in math and English Language Arts, but they also increase suspensions and absences for students with LD. These effects vary across student subgroups, including gender, race/ethnicity, eligibility for free or reduced-price lunch, and English language learner status. The findings reveal both the significant benefits and unintended consequences of special education services for students with LD, highlighting the complex dynamics and varying effects of special education.
While learning outcomes in low- and middle-income countries are generally at low levels, the degree to which students and schools more broadly within education systems lag behind grade-level proficiency can vary significantly. A substantial portion of existing literature advocates for aligning curricula closer to the proficiency level of the “median child” within each system. Yet, amidst considerable between-school heterogeneity in learning outcomes, choosing a single instructional level for the entire system may still leave behind those students in schools far from this level. Hence, establishing system-wide curriculum expectations in the presence of significant between-school heterogeneity poses a significant challenge for policymakers — especially as the issue of between-school heterogeneity has been relatively unexplored by researchers so far. This paper addresses the gap by leveraging a unique dataset on foundational literacy and numeracy outcomes, representative of six public educational systems encompassing over 900,000 enrolled children in South Asia and West Africa. With this dataset, we examine the current extent of between-school heterogeneity in learning outcomes, the potential predictors of this heterogeneity, and explore its potential implications for setting national curricula for different grade levels and subjects. Our findings reveal that between-school heterogeneity can indeed present both a severe pedagogical hindrance and challenges for policymakers, particularly in contexts with relatively higher levels of performance and in the higher grades. In response to meaningful between-system heterogeneity, we also demonstrate through simulation that a more nuanced, data-driven targeting of curricular expectations for different schools within a system could empower policymakers to effectively reach a broader spectrum of students through classroom instruction.
Recent work highlights the challenge of scaling evidence-based educational programs. We report on a randomized controlled trial of a financial incentive program designed to increase the efficacy of a national remote college advising initiative for high-achieving students. We find substantial positive effects of the program on student engagement with college advisors; applications to well-matched colleges and universities; and review of financial aid awards. Yet treated students were no more likely to enroll at higher-quality institutions. Student survey responses suggest that institutional admissions and affordability barriers, alongside student preferences to attend institutions closer to home, explain the lack of enrollment effects.
Correspondence audits document causal evidence of racial/ethnic discrimination in many contexts. However, few studies have examined whether local political party voting context influences individuals to engage in “stakeholder-centric” discrimination on behalf of or in response to expectations of others. We examine heterogeneity in racial/ethnic discrimination by the county-level Republican vote share with a correspondence audit of 52,792 K-12 public-school principals across 33 states. We email principals posing as parents considering a move to the school district and requesting a meeting. We find evidence that the county-level Republican vote share strongly moderates racial/ethnic discrimination against Black and Chinese American families. While all groups are less likely to receive a response from principals as the Republican vote share increases, the declines for Black and Chinese American families are largest. Thus, discrimination against Black and Chinese American families is sizable in counties with the highest Republican vote share. These findings shed light on how partisanship can shape the experiences of historically marginalized groups. Furthermore, there may be benefits to targeting limited resources to geographies where discrimination is more likely to occur.
While Hispanic students represent the fasting-growing segment of the American school-age population, substantial gaps exist in college enrollment and Bachelor’s attainment between Hispanic and White and Asian students. Numerous factors contribute to these disparities and disproportionally affect Hispanic youth. In this paper, we contribute evidence on the impact of an intensive college advising program on Hispanic students’ college participation and degree attainment. We report on a multi-cohort randomized controlled trial of College Forward, which provides individualized advising from junior year of high school through college for a majority Hispanic, lower-income student population in Texas. Students who receive College Forward advising are 7.1 percentage points more likely to earn a Bachelor’s degree within 5 years of high school graduation; this effect appears largely driven by shifting high school graduates from the extensive margin of not going to college at all to instead enroll at four-year colleges and universities. Despite the costs associated with intensive advising programs like College Forward, back of the envelope calculations suggest that the benefit from increased college graduation induced by the program outweighs operating costs in less than three years following college completion.
Public policies targeting individuals based on need often impose disproportionate burden on communities that lack the resources to implement these policies effectively. In an elementary school setting, I examine whether community-level interventions focusing on similar needs and providing resources to build capacity in these communities could improve outcomes by improving the effectiveness of individual-level interventions. I find that the extended school day policy that targets lowest-performing schools in reading in Florida significantly improved the effectiveness of the third-grade retention policy in these schools. These complementarities were large enough to close the gap in retention effects between targeted and higher-performing schools.