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The Long-Run Impacts of Universal Pre-K with Equilibrium Considerations
Since 1995, publicly funded pre-K with universal eligibility has proliferated across the U.S. Universal pre-K (UPK) operates at great scale and serves children with a wide range of alternative childcare options. Because these programs are relatively young, very little is known about their long-run impacts on children. In this paper, I use a difference-in-differences (DiD) design to estimate the long-run impacts of Georgia UPK, the first statewide program. Children exposed to UPK were 1.7% more likely to graduate high school, 11.1% less likely to receive SNAP benefits as adults, and girls were 10.6% less likely to have children as teenagers. To help interpret those results, I develop a simple conceptual framework that considers how public pre-K expansions can affect the entire childcare market. For instance, greater competition could force private centers to adjust prices and quality, or to close entirely—creating spillover impacts on children not enrolled in public pre-K. Empirically, I find evidence consistent with large spillovers in Georgia, suggesting that a focus on UPK enrollees would miss a key part of the program’s overall impact. Further, I show that conventional DiD estimates of treatment effects on the treated may be substantially biased in the presence of spillovers—in the Georgia context and in others.
Do Innovative Career Pathways in Massachusetts High Schools Promote Equitable Access to Higher Education?
Two persistent shortcomings of the American labor market are the wage gaps and unequal unemployment rates that exist between racial groups. More specifically, Black and Latinx high school graduates earn less and are more likely to be unemployed than their White counterparts, on average. Likewise, students from low-income families are much more likely to be low-income themselves in adulthood. One of the ways Massachusetts seeks to address this is by offering Innovation Career Pathways, optional career and technical education (CTE) programs within traditional public high schools that are attended by students from historically disadvantaged backgrounds, to grant them access to preparation for in demand careers through technical courses and hands-on learning experiences. In addition to being conducive to economic opportunity directly by promoting career readiness, literature suggests that CTE programs may also do so indirectly by having a positive effect on educational attainment, which has a positive relationship with employment as well as earnings. This study investigates the effects of participation in the Massachusetts Innovation Career Pathways (ICP) on college readiness, college enrollment, and college persistence of racial minority and low-income students using Inverse Probability of Treatment Weighting, as determined by propensity scores. Given the findings that program participation has positive effects on college enrollment and persistence across racial and economic groups, increased recruitment of Black, Latinx, and low-income students into the program may be a way to promote equitable access to higher education in the state of Massachusetts.
The Role of Comprehensive Student Support Interventions during School Turnaround
The persistence of underperformance in schools within large urban districts remains a significant challenge in the U.S. K-12 education system. Education policymakers have enacted legislation aiming at improving these schools through ``turnaround'' initiatives. However, students attending underperforming schools face multifaceted challenges that extend beyond the classroom. Therefore, restructuring the underperforming schools without addressing critical out-of-school factors appears to be insufficient to achieve the goal of these legislative efforts. In this study, we focus on a large urban school district in Massachusetts with many underperforming schools undergoing school turnaround. During the turnaround process, some schools implemented a comprehensive student support intervention while others did not. The variation in supplementing school turnaround with comprehensive student support intervention and the timing of the implementation of the intervention allows us to explore whether comprehensive student support aiming at addressing out-of-school factors enhances student performance during the school turnaround process. Employing difference-in-differences and event studies research designs, our findings reveal that schools and grades implementing the comprehensive student support intervention during their turnaround efforts demonstrate improvement in math and English language arts compared to those not implementing the intervention. These results provide valuable insights for policymakers, emphasizing the essential role of comprehensive student support in enhancing the success of school turnaround.
I know my rights? Iowa Senate File 496, book bans, and the First and Fourteenth Amendments
This instrumental case study explores 31 Iowan educators’ and board of education members’ perceptions of the ways the state’s book ban law, Senate File 496 influenced school information systems. Mathisen’s (2015) informational justice conceptual framework guided data analysis. The three key findings of this study were Senate File 496 was imprudently discriminatory in implementation, invalidated recognition of school community identities, and threatened democratic participation in information systems.
Do Pensions Enhance Worker Effort and Selection? Evidence from Public Schools
Why do employers offer pensions? We empirically examine two theoretical rationales, namely that pensions improve worker effort and worker selection. We test these hypotheses using rich administrative measures on effort and output for teachers around the pension-eligibility notch. When workers cross the notch, their effective compensation falls by roughly 50 percent of salary, but we observe no reduction in worker effort or output. This implies that pension payments do not increase effort. As for selection, we find that pensions retain low-value-added and high-value-added workers at the same rate, implying similar preferences across teacher quality and no influence on selection.
Are Preschool Programs Becoming Less Effective?
High-quality preschool programs are heralded as an effective policy tool to promote the development and life-long wellbeing of children from low-income families. Yet evaluations of recent preschool programs produce puzzling findings, including negative impacts, and divergent, weaker results than were shown in demonstration programs implemented in the 1960s and 70s. We provide potential explanations for why modern evaluations of preschool programs have produced less positive and more mixed results, focusing on changes in counterfactual conditions and preschool instructional practices. We also address popular explanations such as subsequent low-quality schooling experiences that, we argue, do not appear to account for weakening program effectiveness. The field must take seriously the smaller positive, null, and negative impacts from modern programs and strive to understand why effects vary and how to boost program effectiveness through rigorous, longitudinal research.
Expanding School Counseling: The Impacts of California Funding Changes
Counselors are a common school resource for students navigating complicated and consequential education choices. However, most students have limited access to school counselors. We study one of the largest U.S. policies to increase access to school counselors - California's Supplemental School Counseling Program. The program increased the average number of counselors per high school by 0.7 and reduced student to counselor ratios by over 150 students. Counselors hired as a result of the program had less experience on average. The expansion of counseling had positive effects on high school graduation and public college enrollment rates as well as on student perceptions of school climate. Impacts on college enrollment were largest in high poverty and rural schools. Thus, expanding access to counselors may help schools address equity gaps in college access and concerns over students' mental health.
Are Community College Students Increasingly Choosing High-Paying Fields of Study? Evidence from Massachusetts
The labor-market payoff to workers with associate degrees in healthcare and STEM occupations is very high in Massachusetts. We examine whether this induced a growing proportion of students in MA community colleges (MACCs) to earn an associate degree (AD) in one of these fields. We do this by using multinomial logit analysis to compare trends across 12 cohorts of MACC entrants in the proportion of students who earned an AD in a healthcare or STEM program within six years of entry.
We find a substantial increase across cohorts in the proportion of students who earned an AD in a STEM program, but not in the proportion who earned an AD in a healthcare program. We found differences in degree attainment by student gender, race/ethnicity, family income, and 10th-grade mathematics score. Interviews with MACC program leaders revealed that supply constraints hinder expansion of many healthcare AD programs, but not STEM programs.
The Long-Term Effect of North Carolina Pre-Kindergarten is Larger in School Districts with Lower Rates of Growth in Academic Achievement
Prior research has found that public investments in North Carolina’s pre-kindergarten program—NC Pre-K—generated positive effects on student reading and math achievement through eighth grade (Bai et al., 2020). This study examined whether the effect of NC Pre-K funding exposure is moderated by the educational environments children subsequently experience during elementary and middle school. The NC Pre-K effect on student reading and math achievement in eighth grade was found to be 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 school environments—consistent with a dynamic substitutability hypothesis of combined effects.
The Returns to Education over time and the Effect of COVID-19
This paper examines the effects of the COVID-19 pandemic on the returns to education in the United States. Using data from the Current Population Survey 2011-2022, the analysis reveals that, after a period of decline, returns to education increased significantly because of COVID, particularly for men and those with university education. The returns to university for men increased by 1 percentage points. The results underscore the importance of continued investment in education to mitigate the adverse effects of future crises.
Same Idea, Shifting Standards: An Experimental Study of Racial-Ethnic Biases in Ambitious Math Teaching
Teacher expectations and judgments about student capabilities are predictive of student achievement, yet such judgments may be influenced by salient dimensions of student identity and invite biases. Moreover, ambitious math teaching may also invite teacher biases due to the emphasis on student-generated inputs and ideas. In this pre-registered audit experiment, we investigate teacher biases in a) expectations and judgments about student capabilities in math and b) teacher responsiveness to students’ mathematical thinking. Through a between-subjects design, we randomly assigned teachers to a simulated classroom composed of predominantly Black, Latinx/e, or White students and prompted them to respond to a student’s mathematical solution. We also prompted teachers to judge the quality of the student’s mathematical thinking and rate their expectations about the difficulty of the problem for the typical student. Our findings show teachers expected greater task difficulty in both the Latinx/e and Black classroom conditions relative to the White. We also found teachers may be more likely to support student sense-making and provide more positive, substantive affirmations to Black students relative to White students for the same mathematical solution. We did not find differences by condition in other dimensions. Our findings have implications for teacher training and reform-oriented mathematics instruction.
What’s the Goal Here? Educator’s Perspectives of Iowa’s Senate File 496 on School Mental Health Systems
Iowa's Senate File 496 requires parent permission to formally survey students about their mental health, bans the discussion of gender identity and sexual orientation in schools before 7th grade, mandates schools obtain parental permission to use a nick name, and bans any books that depict or describe sex acts in schools. This exploratory case study explores educators’ (n = 20) perceptions of Senate File 496’s influence on school-based mental health systems and the ways participants perceived the legislation influenced student mental health. Key findings reveal that Senate File 496 was dismantling school-based mental health systems in schools, there was a rise of vigilantism in education, and participants perceived the legislation caused irrevocable student harm.
Overpoliced? A Descriptive Portrait of School-Based Targeted Police Interventions in New York City
This study provides a descriptive analysis of police intervention as a response to student behavior in New York City public schools. We find that between the 2016/17 and 2021/22 academic years, arrests and juvenile referrals decreased while non-detainment-based and psychiatric police interventions increased. However, Black students, especially those enrolled in schools located in predominantly White police precincts experiencing a shrinking White student population, experienced disproportionate rates of arrests, juvenile referrals, and police-involved psychiatric interventions. Schools serving more Black students experienced higher rates of interventions relative to schools with fewer Black students, but these higher rates of intervention are not explained by differences in observable student behavior and characteristics. Instead, differences in teacher characteristics and resources contribute to the excess use of police interventions in predominantly Black schools.
Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise
Generative AI, particularly Language Models (LMs), has the potential to transform real-world domains with societal impact, particularly where access to experts is limited. For example, in education, training novice educators with expert guidance is important for effectiveness but expensive, creating significant barriers to improving education quality at scale. This challenge disproportionately hurts students from under-served communities, who stand to gain the most from high-quality education and are most likely to be taught by inexperienced educators. We introduce Tutor CoPilot, a novel Human-AI approach that leverages a model of expert thinking to provide expert-like guidance to tutors as they tutor. This study presents the first randomized controlled trial of a Human-AI system in live tutoring, involving 900 tutors and 1,800 K-12 students from historically under-served communities. Following a preregistered analysis plan, we find that students working on mathematics with tutors randomly assigned to have access to Tutor CoPilot are 4 percentage points (p.p.) more likely to master topics (p<0.01). Notably, students of lower-rated tutors experienced the greatest benefit, improving mastery by 9 p.p. relative to the control group. We find that Tutor CoPilot costs only $20 per-tutor annually, based on the tutors’ usage during the study. We analyze 550,000+ messages using classifiers to identify pedagogical strategies, and find that tutors with access to Tutor CoPilot are more likely to use strategies that foster student understanding (e.g., asking guiding questions) and less likely to give away the answer to the student, aligning with high-quality teaching practices. Tutor interviews qualitatively highlight how Tutor CoPilot’s guidance helps them to respond to student needs, though tutors flag common issues in Tutor CoPilot, such as generating suggestions that are not grade-level appropriate. Altogether, our study of Tutor CoPilot demonstrates how Human-AI systems can scale expertise in real-world domains, bridge gaps in skills and create a future where high-quality education is accessible to all students.
Accelerating Opportunity: The Effects of Instructionally Supported Detracking
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.