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Multiple outcomes of education
Criminal activity is seasonal, peaking in the summer and declining through the winter. We provide the first evidence that arrests of children and reported crimes involving children follow a different pattern: peaking during the school year and declining in the summer. We use a regression discontinuity design surrounding the exact start and end dates of the school year to show that this pattern is caused by school: children aged 10-17 are roughly 50% more likely to be involved in a reported crime during the beginning of the school year relative to the weeks before school begins. This sharp increase is driven by student-on-student crimes occurring in school and during school hours. We use the timing of these patterns and a seasonal adjustment to argue that school increases reported crime rates (and arrests) involving 10-17-year-old offenders by 47% (41%) annually relative to a counterfactual where crime rates follow typical seasonal patterns. School exacerbates preexisting sex-based and race-based inequality in reported crime and arrest rates, increasing both the Black-white and male-female gap in reported juvenile crime and arrest rates by more than 40%.
The persistently high employment share of the informal sector makes entrepreneurship a necessity for youth in many developing countries. We exploit exogenous variation in the implementation of Rwanda’s entrepreneurship education reform in secondary schools to evaluate its effect on student economic outcomes up to three years after graduation. Using a randomized controlled trial, we evaluated a three-year intensive training for entrepreneurship teachers, finding pedagogical changes as intended and increased entrepreneurial activity among students. In this paper, we tracked students following graduation and found that increased entrepreneurship persisted one year later, in 2019. Students from treated schools were six percentage points more likely to be entrepreneurs, an increase of 19 percent over the control mean. However, gains in entrepreneurship faded after three years, in 2021. Employment was six percentage points lower in the treatment group. By some measures, income and profits were lower in the treatment group, with no robust differences in these outcomes overall. Lower incomes and profits were concentrated among marginal students induced into entrepreneurship by the program. Youth entrepreneurship programs may therefore steer some participants away from their comparative advantage. Nonetheless, the program increased university enrollment, suggesting the potential for higher long run returns.
School districts historically approached conflict-resolution from a zero-sum perspective: suspend students seen as disruptive and potentially harm them, or avoid suspensions and harm their classmates. Restorative practices (RP) -- focused on reparation and shared ownership of disciplinary justice -- are designed to avoid this trade-off by addressing undesirable behavior without imparting harm. This study examines Chicago Public Schools' adoption of RP. We identify decreased suspensions, improved school climate, and find no evidence of increased classroom disruption. We estimate a 19% decrease in arrests, including for violent offenses, with reduced arrests outside of school, providing evidence that RP substantively changed behavior.
This study provides the first large-scale quantitative exploration of mathematical language use in U.S. classrooms. Our approach employs natural language processing techniques to describe variation in the use of mathematical language in 1,657 fourth and fifth grade lessons by teachers and students in 317 classrooms in four districts over three years. Students’ exposure to mathematical language varies substantially across lessons and between teachers. Students whose teachers use more mathematical language are more likely to use it themselves, and they perform better on standardized tests. These findings suggest that teachers play a substantial role in students’ mathematical language use.
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 overall. However, effects differ across the UI benefit distribution. At the lowest benefit level ($265/week), a mass layoff increases out-of-school suspensions by 4.5%, 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.
Few interventions reduce inequality in reading achievement, let alone higher order thinking skills, among adolescents. We study “policy debate”—an extracurricular activity focused on improving middle and high schoolers’ critical thinking, argumentation, and policy analysis skills—in Boston schools serving large concentrations of economically-disadvantaged students of color. Student fixed effects estimates show debate had positive impacts on ELA test scores of 0.13 SD, equivalent to 68% of a full year of average 9th grade learning. Gains were concentrated on analytical more than rote subskills. We find no harm to math, attendance, or disciplinary records, and evidence of positive effects on high school graduation and postsecondary enrollment. Impacts were largest among students who were lowest achieving prior to joining debate.
Tutoring has emerged as an especially promising strategy for supporting students academically. This study synthesizes 33 articles on the implementation of tutoring, defined as one-to-one or small-group instruction in which a human tutor supports students grades K-12 in an academic subject, to better understand the facilitators and barriers to program success. We find that policies influenced tutoring implementation through the allocation of federal funding and stipulation of program design. Tutoring program launch has often been facilitated by strategic relationships between schools and external tutoring providers and strengthened by transparent assessments of program quality and effectiveness. Successful implementation hinged on the support of school leaders with the power to direct school funding, space, and time. Tutoring setting and schedule, recruitment and training, and curriculum influenced whether students are able to access quality tutoring and instruction. Ultimately, evidence suggests that tutoring was most meaningful when tutors fostered positive student-tutor relationships which they drew upon to target instruction toward students’ strengths and needs.
In this study, we examine an at-scale effort to encourage the formation of career pathways in California, with the goal of estimating the initiative’s causal effects on community college enrollment. We leverage a discontinuous assignment rule used to award grant funds to obtain credibly causal estimates of an ambitious $500 million effort to expand and establish career and technical education pathways between K-12 and community colleges. The competitive grant application process used a standardized rubric, and those receiving a score above a predetermined threshold were awarded funding (i.e., treatment group) while those just below received no funding (i.e., control group), allowing for a regression discontinuity (RD) design. We found that successful grantees did not experience overall enrollment increases in postsecondary partnerships; however, there were enrollment increases of 13.5 percent to 14.8 percent in CTE health sector courses, the program targeted the most for expansion. Manufacturing, and information communication technology, the other programs with the most expanded offerings, experienced no increases in postsecondary enrollment. The enrollment increases for the health sector were concentrated amongst female students in line with earlier findings by Bonilla (2020) documenting reductions in high school dropout rates for female students. These findings suggest that partnerships between K-12 schools and postsecondary institutions may be a viable avenue for increasing alignment between enrollment and high- growth sectors.
We study the distributional effects of remote learning. Our approach combines newly collected data on parental preferences with administrative data from Los Angeles. The preference data allow us to account for selection into remote learning while also studying selection patterns and treatment effect heterogeneity. We find a negative average effect of remote learning on reading (–0.14σ) and math (–0.17σ). Notably, we find evidence of positive learning effects for children whose parents have the strongest demand for remote learning. Our results suggest an important subset of students who currently sort into post-pandemic remote learning benefit from expanded choice.
We use linked individual-level data on school enrollment, physician services received, and prescription medications to measure the effect of the COVID-19 pandemic and associated disruptions on mental health treatment received by adolescents in British Columbia. We also investigate whether these effects are mediated by socioeconomic status and schooling mode. The results suggest substantial increases for non-Indigenous English home language girls in treatment for depression/anxiety, ADHD, eating disorders and other mental health conditions. Indigenous and non-English home language girls also show increases in treatment for depression/anxiety, and Indigenous girls show increases in treatment for ADHD. In contrast, boys show no change or even reductions in treatment for most mental health conditions. These effects vary somewhat by socioeconomic status, but we find no evidence that they vary substantially by schooling mode.