Search EdWorkingPapers
Search EdWorkingPapers by author, title, or keywords.
Search
EdWorkingPapers
The worldwide school closures in early 2020 led to losses in learning that will not easily be made up for even if schools quickly return to their prior performance levels. These losses will have lasting economic impacts both on the affected students and on each nation unless they are effectively remediated.
While the precise learning losses are not yet known, existing research suggests that the students in grades 1-12 affected by the closures might expect some 3 percent lower income over their entire lifetimes. For nations, the lower long-term growth related to such losses might yield an average of 1.5 percent lower annual GDP for the remainder of the century. These economic losses would grow if schools are unable to re-start quickly.
The economic losses will be more deeply felt by disadvantaged students. All indications are that students whose families are less able to support out-of-school learning will face larger learning losses than their more advantaged peers, which in turn will translate into deeper losses of lifetime earnings.
The present value of the economic losses to nations reach huge proportions. Just returning schools to where they were in 2019 will not avoid such losses. Only making them better can. While a variety of approaches might be attempted, existing research indicates that close attention to the modified re-opening of schools offers strategies that could ameliorate the losses. Specifically, with the expected increase in video-based instruction, matching the skills of the teaching force to the new range of tasks and activities could quickly move schools to heightened performance. Additionally, because the prior disruptions are likely to increase the variations in learning levels within individual classrooms, pivoting to more individualised instruction could leave all students better off as schools resume.
As schools move to re-establish their programmes even as the pandemic continues, it is natural to focus considerable attention on the mechanics and logistics of safe re-opening. But the long-term economic impacts also require serious attention, because the losses already suffered demand more than the best of currently considered re-opening approaches.
State testing programs regularly release previously administered test items to the public. We provide an open-source recipe for state, district, and school assessment coordinators to combine these items flexibly to produce scores linked to established state score scales. These would enable estimation of student score distributions and achievement levels. We discuss how educators can use resulting scores to estimate achievement distributions at the classroom and school level. We emphasize that any use of such tests should be tertiary, with no stakes for students, educators, and schools, particularly in the context of a crisis like the COVID-19 pandemic. These tests and their results should also be lower in priority than assessments of physical, mental, and social–emotional health, and lower in priority than classroom and district assessments that may already be in place. We encourage state testing programs to release all the ingredients for this recipe to support low-stakes, aggregate-level assessments. This is particularly urgent during a crisis where scores may be declining and gaps increasing at unknown rates.
In this paper we study the impact on student absenteeism of a large school-based community crime monitoring program that employed local community members to monitor and report crime on designated city blocks during students’ travel to and from school. We find that the program resulted in a 0.78 percentage point reduction in the school-level absence rate (11 percent effect). We explore two potential channels to explain this: we find improvements “outside of the school walls” in the form of reduced crime near treated schools and “inside of the school walls” in the form of reduced incidents of serious student misconduct.
StudentU is a comprehensive program that provides education, nutrition, and social support services to disadvantaged students outside of the regular school day. In this paper I investigate the effects of this multi-year program on the early high school outcomes of participating students by exploiting data from oversubscribed admissions lotteries. I estimate that lottery winners who entered the comprehensive program with low baseline achievement earned more course credits (0.82 credits), achieved higher grade point averages (0.37 grade points), and were less likely to be suspended (17.1 percentage points) during ninth grade than their lottery loser counterparts. Investigation of candidate channels indicates that increased student effort and improved behavior in school are likely mechanisms. Using an index of early high school outcomes, I predict that lottery winners are around 4 percentage points more likely to graduate from high school than lottery losers (5 percent effect). These results suggest that comprehensive services delivered outside of the regular school day have the potential to improve the educational outcomes of disadvantaged students.
While current debates center on whether and how to admit immigrants to the United States, little attention has been paid to interventions designed to help immigrants integrate after they arrive. Public adult education programs are the primary policy lever for building the language skills of the over 23 million adults with limited English proficiency in the United States. We leverage the enrollment lottery of a publicly-funded adult English for Speakers of Other Languages (ESOL) program in Massachusetts to estimate the effects of English language training on voting behavior and employer-reported earnings. Attending ESOL classes more than doubles rates of voter registration and increases annual earnings by $2,400 (56%). We estimate that increased tax revenue from earnings gains fully pay for program costs over time, generating a 6% annual return for taxpayers. Our results demonstrate the social value of post-migration investments in the human capital of adult immigrants.
We examine the impact of the Thompson Scholars Learning Community (TSLC), a comprehensive college transition program serving students with a variety of majors, on students’ science, technology, engineering, and math (STEM)-related outcomes. We use an explanatory mixed-methods design, which prioritizes the quantitative analyses and uses qualitative analyses to contextualize and explain our quantitative findings. Overall, participating in TSLC does not make students more likely to declare a STEM major, although we do find a positive effect for students of color. TSLC students earn higher overall GPAs than their scholarship-only peers, and TSLC students majoring in STEM outperform scholarship-only STEM majors in STEM courses. Qualitative analyses suggest these results stem from the student-centered and proactive support the program provides students. Our results suggest that a disciplinarily-agnostic program can support student success in STEM, and may increase equitable representation in STEM fields.
This paper estimates the relationship between students’ psychosocial and academic outcomes during their first three years enrolled at public, four-year institutions. Our sample is comprised of students from low-income backgrounds who applied for a competitive scholarship and enrolled at a four-year public institution. We follow two cohorts of entering students throughout their first three years on campus. We observe their cumulative GPA and persistence decisions each semester, and have annual measures of four psychosocial outcomes: mattering to campus, sense of belonging to campus, academic self-efficacy, and social self-efficacy. We find that psychosocial outcomes are moderately predictive of academic outcomes, with sense of belonging and academic self-efficacy emerging as most predictive of both cumulative GPA and persistence.
Evidence on educational returns and the factors that determine the demand for schooling in developing countries is extremely scarce. We use two surveys from Tanzania to estimate both the actual and perceived schooling returns and subsequently examine what factors drive individual misperceptions regarding actual returns. Using ordinary least squares and instrumental variable methods, we find that each additional year of schooling in Tanzania increases earnings, on average, by 9 to 11 percent. We find that on average, individuals underestimate returns to schooling by 74 to 79 percent, and three factors are associated with these misperceptions: income, asset poverty, and educational attainment. Shedding light on what factors relate to individual beliefs about educational returns can inform policy on how to structure effective interventions to correct individuals' misperceptions.
This paper presents results of a multi-visit, longitudinal experiment on the academic and social-emotional effects of arts-based field trips. We randomly assign fourth and fifth grade students to receive arts-based field trips throughout the school year or to serve as a control. Treatment students express greater tolerance for people with different opinions and a desire to consume arts. Additionally, treatment students have fewer behavioral infractions, attend school more frequently, score higher on their end-of-grade exams, and receive higher course grades. Effects are strongest when students enter middle school. We find no effect on students’ desire to participate in the arts, empathy, or social perspective taking.
Numerous studies have considered the important role of cognition in estimating the returns to schooling. How cognitive abilities affect schooling may have important policy implications, especially in developing countries during periods of increasing educational attainment. Using two longitudinal labor surveys that collect direct proxy measures of cognitive skills, we study the importance of specific cognitive domains for the returns to schooling in two samples. We instrument for schooling levels and we find that each additional year of schooling leads to an increase in earnings by approximately 18-20 percent. The estimated effect sizes—based on the two-stage least squares estimates—are above the corresponding ordinary least squares estimates. Furthermore, we estimate and demonstrate the importance of specific cognitive domains in the classical Mincer equation. We find that executive functioning skills (i.e., memory and orientation) are important drivers of earnings in the rural sample, whereas higher-order cognitive skills (i.e., numeracy) are more important for determining earnings in the urban sample. Although numeracy is tested in both samples, it is only a statistically significant predictor of earnings in the urban sample. (JEL I21, F63, F66, N37)