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We study the conditional gender wage gap among faculty at public research universities in the U.S. We begin by using a cross-sectional dataset from 2016 to replicate the long-standing finding in research that conditional on rich controls, female faculty earn less than their male colleagues. Next, we construct a data panel to track the evolution of the wage gap through 2021. We show that the gap is narrowing. It declined by more than 50 percent over the course of our data panel to the point where by 2021, it is no longer detectable at conventional levels of statistical significance.
This paper introduces a new measure of the labor markets served by colleges and universities across the United States. About 50 percent of recent college graduates are living and working in the metro area nearest the institution they attended, with this figure climbing to 67 percent in-state. The geographic dispersion of alumni is more than twice as great for highly selective 4-year institutions as for 2-year institutions. However, more than one-quarter of 2-year institutions disperse alumni more diversely than the average public 4-year institution. In one application of these data, we find that the average strength of the labor market to which a college sends its graduates predicts college-specific intergenerational economic mobility. In a second application, we quantify the extent of “brain drain” across areas and illustrate the importance of considering migration patterns of college graduates when estimating the social return on public investment in higher education.
Von Hippel & Cañedo (2021) reported that US kindergarten teachers placed girls, Asian-Americans, and children from families of high socioeconomic status (SES) into higher ability groups than their test scores alone would warrant. The results fit the view that teachers were biased.
This comment asks whether parents’ lobbying for higher placement might explain these results. The answer, for the most part, is no. Measures of parent-teacher contact explained little variation in children’s ability group placement, and did not account for the higher placement of girls, Asian-Americans, or high-SES children. In fact, Asian-American parents had less teacher contact than did white children. It appears that the biases observed by von Hippel & Cañedo resided primarily in teachers, not in parents.
We also ask whether teachers who used more objective assessment techniques were less biased in placing children into higher and lower ability groups. The answer, again, was no. Unfortunately, biases persisted in the face of objective information about students’ skill. Fortunately, the biases were not terribly large.
Existing research indicates that racially minoritized students with similar academic preparation are less likely than their represented peers to persist in STEM, raising the question of factors that may contribute to racial disparities in STEM participation beyond academic preparation. We extend the current literature by first examining race-based differences in what students expect to receive and their actual grades in introductory STEM college courses, a phenomenon termed as overestimation. Then, we assess whether overestimation differentially influences STEM interest and persistence in college. Findings indicate that first-year STEM students tend to overestimate their performance in general, and the extent of overestimation is more pronounced among racially minoritized students. Subsequent analyses indicate that students who overestimate are more likely to switch out of STEM, net academic preparation. Results from regression models suggest that race-based differences in overestimation can be explained by pre-college academic and contextual factors, most notably the high school a student attended.
Public discussions of racial inclusion and equal opportunity initiatives in the U.S. are often met with claims that expanding access to an institution, space, or public good is likely to diminish its quality. Examples of this pattern include: anticipated (and real) property value declines when predominantly white neighborhoods become more racially diverse; fears that the excellence of white schools will decline when the population of Black and brown students grows; apprehensions that equitable hiring practices necessarily entail lower standards for job candidates. In this paper, we examine how a federal agency, the Fund for the Improvement of Postsecondary Education (FIPSE), charged with addressing the aftermath of the ‘access wave’ of new college students promulgated by the Higher Education Act of 1965, came to reconcile its commitments to educational equity and quality. Through a novel examination of the historical development of what we term (e)quality politics in the administration of civil rights policy in higher education, we trace how two concepts - equity and quality – became discursively linked and contested in American politics. (E)quality politics refers to the introduction of a policy paradigm that reframes equity discussions and goals around the professed need to preserve and advance institutional “quality” using measures and standards that are, importantly, defined and instantiated under the era of segregation that precedes equal access policies. In particular, we uncover the discursive patterns by which the perceived threats to “quality” posed by racial diversity can prompt administrators to compensate, protect, and maintain the prerogatives of high-status institutions or groups that benefited under previous eras of exclusion. Understood as part of a backlash to egalitarian reforms, we argue, these quality measures undermine equity goals.
Promoting equality in college enrollment and completion must start early in students’ college-going journeys, including with their expectations to first earn a college degree. With a nationally representative sample of high school students, I evaluate the ability of a recent collection of college access policies (place-based “promise” scholarships or “free” college programs) to increase students’ college expectations and test the heterogeneity of these impacts across students’ race and family income. Evidence from a difference-in-differences design and lagged-dependent-variable regressions suggest the introduction of promise programs increased the likelihood a student expected to attain an associate degree or higher by 8.5 to 15.0 percentage points by the end of high school, with larger effects for low-income and racially minoritized students. This study is the first to test the power of “free” college in shaping pre-college students’ educational plans, and, in doing so, not only addresses an existing gap in the literature but also identifies a key mechanism through which many of the positive college-going impacts observed across promise programs in the current literature may in fact originate. Given the rapid proliferation of promise programs across the nation, this study provides policymakers with a fuller view of the potential impacts of these programs, particularly concerning how they influence students’ outcomes along dimensions of race and income.
Despite documented benefits to college completion, more than a third of students who initially enroll in college do not ultimately earn a credential. Completing college requires students to navigate both institutional administrative tasks (e.g., registering for classes) and academic tasks within courses (e.g., completing homework). In postsecondary education, several promising interventions have shown that text-based outreach and communication can be a low-cost, easy to implement, and effective strategy for supporting administrative task navigation. In this paper, we report on a randomized controlled trial testing the effect of a text-based chatbot with artificial intelligence (AI) capability on students' academic task navigation. We find the academic chatbot significantly shifted students’ final grades, increasing the likelihood students received a course grade of B or higher by eight percentage points. We find large and significant treatment effects for first-generation students, estimating the intervention increased their final course grades by about 11 points on a 100-point scale (and a 16 percentage point increase in earning a B or higher) as well as their completion of and performance on individual course deliverables (e.g., readings, activities, exams).
While a growing body of literature has documented the negative impacts of exclusionary punishments, such as suspensions, on academic outcomes, less is known about how teachers vary in disciplinary behaviors and the attendant impacts on students. We use administrative data from North Carolina elementary schools to examine the extent to which teachers vary in their use of referrals and investigate the impact of more punitive teachers on student attendance and achievement. We also estimate the effect of teachers' racial bias in the use of referrals on student outcomes. We find more punitive teachers increase student absenteeism and reduce student achievement. Moreover, more punitive teachers negatively affect the achievement of students who do not receive disciplinary sanctions from the teacher. Similarly, while teachers with a racial bias in the use of referrals do not negatively affect academic outcomes for White students, they significantly increase absenteeism and reduce achievement for Black students. The results suggest punitive disciplinary measures do not aid teachers in productively managing classrooms; rather, teachers taking more punitive stances may undermine student engagement and learning. Moreover, bias in teachers' referral usage contributes to inequities in student outcomes.
Early research on the returns to higher education treated the postsecondary system as a monolith. In reality, postsecondary education in the United States and around the world is highly differentiated, with a variety of options that differ by credential (associates degree, bachelor’s degree, diploma, certificate, graduate degree), the control of the institution (public, private not-for-profit, private for-profit), the quality/resources of the institution, field of study, and exposure to remedial education. In this Chapter, we review the literature on the returns to these different types of higher education investments, which has received increasing attention in recent decades. We first provide an overview of the structure of higher education in the U.S. and around the world, followed by a model that helps clarify and articulate the assumptions employed by different estimators used in the literature. We then discuss the research on the return to institution type, focusing on the return to two-year, four-year, and for-profit institutions as well as the return to college quality within and across these institution types. We also present the research on the return to different educational programs, including vocational credentials, remedial education, field of study, and graduate school. The wide variation in the returns to different postsecondary investments that we document leads to the question of how students from different backgrounds sort into these different institutions and programs. We discuss the emerging research showing that lower-SES students, especially in the U.S., are more likely to sort into colleges and programs with lower returns as well as results from recent U.S.-based interventions and policies designed to support success among students from disadvantaged backgrounds. The Chapter concludes with some broad directions for future research.
Although enrollment at California’s four-year public universities mostly remained unchanged by the pandemic, the effects were substantial for students at California Community Colleges, the largest higher education system in the country. This paper provides a detailed analysis of how the pandemic impacted the enrollment patterns, fields of study, and academic outcomes of these students through the first four semesters after it started. Consistent with national trends, enrollment dropped precipitously during the pandemic – the total number of enrolled students fell by 11 percent from fall 2019 to fall 2020 and by another 7 percent from fall 2020 to fall 2021. The California Community College system lost nearly 300,000 students over this period. Our analysis reveals that enrollment reductions were largest among African-American and Latinx students, and were larger among continuing students than first-time students. We find no evidence that having a large online presence prior to the pandemic protected colleges from these negative effects. Enrollment changes were substantial across a wide range of fields and were large for both vocational courses and academic courses that can be transferred to four-year institutions. In terms of course performance, changes in completion rates, withdrawal rates, and grades primarily occurred in the spring of 2020. These findings of the effects of the pandemic at community colleges have implications for policy, impending budgetary pressures, and future research.