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In multisite experiments, we can quantify treatment effect variation with the cross-site treatment effect variance. However, there is no standard method for estimating cross-site treatment effect variance in multisite regression discontinuity designs (RDD). This research rectifies this gap in the literature by systematically exploring and evaluating methods for estimating the cross-site treatment effect variance in multisite RDDs. Specifically, we formalize a fixed intercepts/random coefficients (FIRC) RDD model and develop a random effects meta-analysis (Meta) RDD model for estimating cross-site treatment effect variance. We find that a restricted FIRC model works best when the running variables' relationship to the outcome is stable across sites but can be biased otherwise. In those instances, we recommend using either the unrestricted FIRC model or the meta-analysis model; with the unrestricted FIRC model generally performing better when the average number of in-bandwidth observations is less than 120 and the meta-analysis model performing better when the average number of in-bandwidth observations is above 120. We apply our models to a high school exit exam policy in Massachusetts that required students who passed the high school exit exam but were still determined to be nonproficient to complete an ``Education Proficiency Plan" (EPP). We find the EPP policy had a positive local average treatment effect on whether students completed a math course their senior year on average across sites, but that the impact varied enough such that a third of schools could have had a negative impact.
Federal law defines eligibility for English learner (EL) classification differently for Indigenous students compared to non-Indigenous students. Indigenous students, unlike non-Indigenous students, are not required to have a non-English home or primary language. A critical question, therefore, is how EL classification impacts Indigenous students’ educational outcomes. This study explores this question for Alaska Native students, drawing on data from five Alaska school districts. Using a regression discontinuity design, we find evidence that among students who score near the EL classification threshold in kindergarten, EL classification has a large negative impact on Alaska Native students’ academic outcomes, especially in the 3rd and 4th grades. Negative impacts are not found for non-Alaska Native students in the same districts.
A core motivation for the widespread teacher evaluation reforms of the last decade was the belief that these new systems would promote teacher development through high-quality feedback. We examine this theory by studying teachers’ perceptions of evaluation feedback in Boston Public Schools and evaluating the district’s efforts to improve feedback through an administrator training program. Teachers generally reported that evaluators were trustworthy, fair, and accurate, but that they struggled to provide high-quality feedback. We find little evidence the training program improved perceived feedback quality, classroom instruction, teacher self-efficacy, or student achievement. Our results illustrate the challenges of using evaluation systems as engines for professional growth when administrators lack the time and skill necessary to provide frequent, high-quality feedback.
Scholars debate whether cultural capital reproduces existing inequalities or provides a path to upward mobility. Most studies, however, focus only on cross-sectional associations and are unclear about how disadvantaged adolescents can increase their amounts of cultural capital. Adolescents may be able to increase cultural capital through ties to adults with high educational attainment. We investigate this topic using experimental longitudinal data on mentoring relationships. We find that mentors with a college degree or greater have positive effects on cultural capital, but primarily for adolescents with a parent with some college or greater. Thus, cultural capital may not be an engine of social mobility if adolescents from low-SES households cannot obtain or increase their cultural capital.
From 2010 onwards, most US states have aligned their education standards by adopting the Common Core State Standards (CCSS) for math and English Language Arts. The CCSS did not target other subjects such as science and social studies. We estimate spillovers of the CCSS on student achievement in non-targeted subjects in models with state and year fixed effects. Using student achievement data from the NAEP, we show that the CCSS had a negative effect on student achievement in non-targeted subjects. This negative effect is largest for underprivileged students, exacerbating racial and socioeconomic student achievement gaps. Using teacher surveys, we show that the CCSS caused a reduction in instructional focus on nontargeted subjects.
In the competitive U.S. higher education market, institutions differentiate themselves to attract both students and tuition dollars. One understudied example of this differentiation is the increasing trend of "colleges" becoming "universities" by changing their names. Leveraging variation in the timing of such conversions in an event study framework, I show that becoming a university increases enrollments at both the undergraduate and graduate levels, which leads to an increase in degree production and total revenues. I further find that these effects are largest when institutions are the first in their market to convert to a university and can lead to negative spillover effects on non-converting colleges.
The ongoing crisis in teacher pension funding has led states to consider various reforms in plan design, to replace the traditional benefit formulas, based on years of service and final average salary (FAS). One such design is a cash balance (CB) plan, long deployed in the private sector, and increasingly considered, but rarely yet adopted for teachers. Such plans are structured with individual 401(k)-type retirement accounts, but with guaranteed returns. In this paper I examine how the nation’s first CB plan for teachers, in Kansas, has played out for system costs, and the level and distribution of individual benefits, compared to the FAS plan it replaced. My key findings are: (1) employer-funded benefits were modestly reduced, despite the surface appearance of more generous employer contribution matches; (2) more importantly, the cost of the pension guarantee, which is off-the-books under standard actuarial accounting, was reduced quite substantially. In addition, benefits are more equitably distributed between short termers and career teachers than under the back-loaded structure of benefits characteristic of FAS plans. The key to the plan’s cost reduction is that the guaranteed return approximates a low-risk market return, considerably lower than the assumed return on risky assets.
Between 2005 and 2016, international enrollment in US higher education nearly doubled. I examine how trade shocks in education affect public universities' decision-making. I construct a shift-share instrument to exploit institutions' historical networks with different origins of international students, income growth, and exchange-rate fluctuations. Contrary to claims that US-born students are crowded out, I find that international students increase schools' funding via tuition payments, which leads to increased in-state enrollment and lower tuition prices. Schools also keep steady per-student spending and recruit more students with high math scores. Lastly, states allocate more appropriations to universities that attract fewer international students.
Four-day school weeks have proliferated across the United States in recent years, reaching over 650 public school districts in 24 states as of 2019, but little is known about the effects of the four-day school week on high school students. This study uses district-level panel data from Oklahoma and a difference-in-differences research design to provide the first estimates of the causal effect of the four-day school week on high school students’ ACT scores, attendance, and disciplinary incidents during school. Results indicate that four-day school weeks decrease per-pupil bullying incidents by approximately 31% and per-pupil fighting incidents by approximately 27%, but have no detectable effect on other incident types, ACT scores, or attendance.
Under the Individuals with Disabilities Education Act, schools are required to provide a free and appropriate public education to students with disabilities and show that the students are making academic progress. This study compares within- and across-years academic growth from kindergarten to 4th grade for students who were ever in special education (ever-SPED) to students who were never in special education (never-SPED). We follow one cohort of about 4,200 students for five years and assess the students up to three times per year. Although ever-SPED students started kindergarten with lower math and reading test scores and grew less in both subjects than never-SPED students during the kindergarten school year, ever-SPED students grew more than never-SPED students during the 1st and 2nd grade school years in math and 1st, 3rd, and 4th grade school years in reading. However, ever-SPED students lost more learning during every summer than never-SPED students. This led the test score disparities between the two to grow from under 0.5 standard deviations in kindergarten to 1.0 standard deviation in 4th grade. These findings suggest that summer learning opportunities are crucial for improving educational outcomes for students with disabilities.