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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.
Academic origins in economics departments, defined as the universities at which tenure-track faculty completed their doctoral studies, may have implications for how the department’s undergraduate and PhD students are trained and placed, as well as the type of research produced. In this project, we use roster data on the academic origins of the tenure-track faculty at 96 U.S. economics departments with graduate degrees. We use these data to document patterns in academic origins across several dimensions, including department ranking, gender, rank (Assistant, Associate, Full Professor), and geography. We find that 1) over half of the faculty of each of eight top departments received their PhD from one of these same universities; 2) at least half of faculty from all top-25 departments come from top-15 universities; 3) over half of Harvard and MIT faculty received their PhD at either Harvard or MIT; and 4) over half of all faculty in the study come from top-15 universities, with Harvard, MIT, and the rest of the top six disproportionately represented. The first and third findings are more pronounced for female faculty.
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.
The opioid crisis is widely recognized as one of the most important public health emergencies of our time, and an issue that is particularly acute for rural communities. We propose a simple model of how opioids in a community can impact the education outcomes of children based on both the extent of exposure to opioids in the community and the child’s vulnerability to any given level of exposure. Next, we document the spatial dimensions of the intersection of the opioid crisis and standardized test scores using national data, with a focus on rural communities. Finally, we estimate the extent to which variation in one measure of the opioid crisis, drug-related mortality, is related to variation in test scores. We find strong relationships between the two, as well as evidence that the relationship is particularly salient for 3rd grade students in rural communities.
While there is a consensus that attending preschool better prepares children for kindergarten, evidence on the factors that sustain the preschool boost into the early elementary years is still emerging. To add to this literature, we use lottery data from applicants to oversubscribed schools in Boston Public Schools (BPS) prekindergarten program to estimate variation in the effects of the program across school sites through the end of third grade. Student outcomes include children’s kindergarten-through-second-grade retention, kindergarten-through-third-grade special education placement, and third-grade state English Language Arts and math test scores. We find statistically significant variation in effects in all student outcomes and we predict this variation with multiple proxies for early elementary school quality. We find that the academic proficiency of third-graders within the schools for which prekindergarten children competed is most strongly associated with prekindergarten program effects. Prekindergarten gains persisted if students applied to and won a seat in a higher-quality elementary school. Our findings appear to be driven by the schools themselves and not by student selection in higher-scoring schools, nor by the counterfactual. These findings imply that policymakers and practitioners interested in sustained gains may need to also invest in improving the quality of children’s K-3 experience.
For years Georgia's HOPE Scholarship program provided full tuition scholarships to high achieving students. State budgetary shortfalls reduced its generosity in 2011. Under the new rules, only students meeting more rigorous merit-based criteria would retain the original scholarship covering full tuition, now called Zell Miller, with other students seeing aid reductions of approximately 15 percent. We exploit the fact that two of the criteria were high school GPA and SAT/ACT score, which students could not manipulate when the change took place. We compare already-enrolled students just above and below these cutoffs, making use of advances in multi-dimensional regression discontinuity, to estimate effects of partial aid loss. We show that, after the changes, aid flowed disproportionately to wealthier students, and find no evidence that the financial aid reduction affected persistence or graduation for these students. The results suggest that high-achieving students, particularly those already in college, may be less price sensitive than their peers.
In this paper I study the impact of court-mandated school desegregation, which began in the late 1950s, on White individuals’ racial attitudes and politics in adulthood. Using geocoded nationwide data from the General Social Survey, I compare outcomes between respondents living in the same county who were differentially exposed to desegregated schools, based on respondent age and the year of court-mandated integration. With this differences-in-differences approach, I find that exposure to desegregated schools increased White individuals’ conservatism and negatively impacted their racial attitudes and support for policies promoting racial equity, such as affirmative action. Heterogeneity analyses indicate that effects are particularly pronounced in counties where opposition to integration was strongest: Southern counties desegregating after the passage of the Civil Rights Act of 1964 and counties where support for the Democratic presidential candidate between the 1960 and 1968 elections substantially decreased. My study provides causal evidence for key tenets of the contact hypothesis, which theorizes that Black-White contact in integrated schools can improve outgroup racial attitudes only under certain conditions, including when this intergroup contact has institutional support.
For nearly three decades, policy-makers and researchers in the United States have promoted more intellectually rigorous standards for mathematics teaching and learning. Yet, to date, we have limited descriptive evidence on the extent to which reform-oriented instruction has been enacted at scale.
The purpose of the study is to examine the prevalence of reform-aligned mathematics instructional practices in five U.S. school districts. We also seek to describe the range of instruction students experience by presenting case studies of teachers at high, medium and low levels of reform alignment.
We draw on 1,735 video-recorded lessons from 329 elementary teachers in these five U.S. urban districts.
We present descriptive analyses of lesson scores on a mathematics-focused classroom observation instrument. We also draw upon interviews with district personnel, rater-written lesson summaries, and lesson video in order to develop case studies of instructional practice.
We find that teachers in our sample do use reform-aligned instructional practices, but that they do so within the confines of traditional lesson formats. We also find that the implementation of these instructional practices varies in quality. Furthermore, the prevalence and strength of these practices corresponds to the coherence of district efforts at instructional reform.
Our findings suggest that unlike other studies in which reform-oriented instruction rarely occurred (e.g. Kane & Staiger, 2012), reform practices do appear to some degree in study classrooms. In addition, our analyses suggest that implementation of these reform practices corresponds to the strength and coherence of district efforts to change instruction.
We explore how teachers unions affect education production by comparing outcomes between districts allocating new tax revenue amidst collective bargaining negotiations and districts allocating tax revenue well before. Districts facing union pressure increase teacher salaries and benefits, spend down reserves, and experience no student achievement gains. Conversely, districts facing less pressure hire more teachers (instead of increasing compensation) and realize significant student achievement gains. We interpret these results as causal evidence of the negative impact of teacher rent seeking on education production, as the timing of district tax elections relative to collective bargaining appears to be as good as random.