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Inequality
This study reports achievement levels and fall-to-spring gains in grades K to 8 for three groups of English Learners (ELs): (a) ever-ELs who were ever eligible for service; (b) current-ELs who continue to require service; and (b) dually-identified students eligible for both EL and Special Education services. I leverage unique data that include 186,139 ever-ELs and their never-EL peers in 1,520 schools. All three EL groups have lower mean math and reading achievement than the average of all students in kindergarten. Compared to the all-student average, ever-ELs and current-ELs make larger gains in the early grades but smaller gains in the middle grades. Dually-identified students make smaller gains than the all-student average across all grades in math and in kindergarten and 1st grade in reading. The expanding achievement gaps in the middle grades suggest better academic support is urgently needed for all multilingual students, especially dually-identified students.
Homelessness is rising among public school students in large cities across the US. Using nine years of student-level administrative data, we examine how homelessness affects students’ mathematics and attendance outcomes within the Los Angeles Unified School District, including the differential effects of homelessness based on duration and timing of their homeless experiences. Results using inverse probability of treatment weighting find that homeless students score 0.13 SD lower on math assessments and miss 5.8 additional days of school than students who never experience homeless. Results suggest that current homelessness has larger negative impacts on math achievement and attendance than former homelessness, and that transitory homelessness has larger negative impacts than persistent homelessness on the same outcomes.
Despite the significant influence that peer motivation is likely to have on educational investments during high school, it is difficult to test empirically since exogenous changes in peer motivation are rarely observed. In this paper, I focus on the 2012 introduction of Deferred Action for Childhood Arrivals (DACA) to study a setting in which peer motivation changed sharply for a subset of high school students. DACA significantly increased the returns to schooling for undocumented youth, while leaving the returns for their peers unchanged. I find that DACA induced undocumented youth to invest more in their education, which also had positive spillover effects on ineligible students (those born in the US) who attended high school with high concentrations of DACA-eligible youth. JEL Codes: I26, H52, J15
One of the controversies surrounding charter schools is whether these schools may either “cream skim” high-performing students from traditional public schools or “pushout” low-achieving students or students with discipline histories, leaving traditional public schools to educate the most challenging students. We use these terms strictly for brevity and acknowledge that many of the reasons that students are labeled high- or low-performing academically or behaviorally are beyond the control of the student. In this study, we use longitudinal statewide data from Tennessee and North Carolina and linear probability models to examine whether there is evidence consistent with these selective enrollment practices. Because school choice programs managed by districts (magnet and open enrollment programs) have a similar ability to cream skim and pushout students, we also examine these outcomes for these programs. Across the various school choice programs, magnet schools have the most evidence of cream skimming, but this might be expected as they often have selective admissions. For charter schools, we do not find patterns in the data consistent with cream skimming, but we do find evidence consistent with pushout behaviors based on discipline records. Finally, some have raised concerns that students may be pushed out near accountability test dates, but our results suggest no evidence consistent with this claim.
We examine U.S. children whose parents won the lottery to trace out the effect of financial resources on college attendance. The analysis leverages federal tax and financial aid records and substantial variation in win size and timing. While per-dollar effects are modest, the relationship is weakly concave, with a high upper bound for amounts greatly exceeding college costs. Effects are smaller among low-SES households, not sensitive to how early in adolescence the shock occurs, and not moderated by financial aid crowd-out. The results imply that households derive consumption value from college and household financial constraints alone do not inhibit attendance.
This article asks whether small changes to community college courses and programs can help improve student outcomes. We use administrative data from the California Community College system, including millions of student records and detailed course-level information for most career-technical education programs in the state. We construct a summary measure of each program’s flexibility, incorporating many components of the availability and scheduling of its courses. We show considerable variation in this flexibility measure across programs and over time. An increase in a program’s flexibility is associated with increases in enrollment and completions, but not with changes in its completion rate.
The estimation of test score “gaps” and gap trends plays an important role in monitoring educational inequality. Researchers decompose gaps and gap changes into within- and between-school portions to generate evidence on the role schools play in shaping these inequalities. However, existing decomposition methods assume an equal-interval test scale and are a poor fit to coarsened data such as proficiency categories. This leaves many potential data sources ill-suited for decomposition applications. We develop two decomposition approaches that overcome these limitations: an extension of V, an ordinal gap statistic, and an extension of ordered probit models. Simulations show V decompositions have negligible bias with small within-school samples. Ordered probit decompositions have negligible bias with large within-school samples but more serious bias with small within-school samples. More broadly, our methods enable analysts to (1) decompose the difference between two groups on any ordinal outcome into portions within- and between some third categorical variable, and (2) estimate scale-invariant between-group differences that adjust for a categorical covariate.
One frequently cited yet understudied channel through which money matters for college students is course availability- colleges may respond to budgetary pressure by reducing course offerings. Open admissions policies, binding class size constraints, and heavy reliance on state funding may make this channel especially salient at community colleges, which enroll 47% of U.S. undergraduates in public colleges and 55% of underrepresented minority students. We use administrative course registration data from a large community college in California to test this mechanism. By exploiting discontinuities in course admissions created by waitlists, we find that students stuck on a waitlist and shut out of a course section were 25% more likely to take zero courses that term relative to a baseline of 10%. Shutouts also increased transfer rates to nearby, but potentially lower quality, two-year colleges. These results document that course availability- even through a relatively small friction- can interrupt and distort community college students’ educational trajectories.
We conduct a comprehensive examination of the causal effect of charter schools on school segregation, using a triple differences design that utilizes between-grade differences in charter expansion within school systems, and an instrumental variable approach that leverages charter school opening event variation. Charter schools increase school segregation for Black, Hispanic, White, and Asian students. The effect is of modest magnitude; segregation would fall 6 percent were charter schools eliminated from the average district. Analysis across varied geographies reveals countervailing forces. In metropolitan areas, charters improve integration between districts, especially in areas with intense school district fragmentation.
In March 2020, most schools in the United States closed their doors and transitioned to distance learning in an effort to contain COVID-19. During the transition a significant number of students did not fully engage in these learning opportunities due to resource or other constraints. An urgent question for schools around the nation is how much did the pandemic impact student academic and social-emotional development. This paper uses administrative panel data from California to approximate the impact of the pandemic by analyzing how absenteeism affects student outcomes. We show wide variation in absenteeism impacts on academic and social-emotional outcomes by grade and subgroup, as well as the cumulative effect of different degrees of absence. Student outcomes generally suffer more from absenteeism in mathematics than in ELA. Negative effects are larger in middle school. Absences negatively affect social-emotional development, particularly in middle school, with slight differences across constructs. Our results add to the emerging literature on the impact of COVID-19 and highlight the need for student academic and social-emotional support to make up for lost time.