Search EdWorkingPapers
Search EdWorkingPapers by author, title, or keywords.
Search
Access and admissions
Despite substantial evidence that resources and outcomes are transmitted across generations, there has been limited inquiry into the extent to which anti-poverty programs actually disrupt the cycle of bad outcomes. We explore how the effects of the United States’ largest early childhood program, Head Start, transfer across generations. We leverage the rollout of this federally funded, means-tested preschool program to estimate the effect of early childhood exposure among mothers on their children’s long-term outcomes. We find evidence of intergenerational transmission of effects in the form of increased educational attainment, reduced teen pregnancy, and reduced criminal engagement in the second generation.
In an effort to reduce the STEM gender gap, policymakers often propose providing women with close mentoring by female scientists. This is based on the idea that female scientists might act as role models and counteract negative gender stereotypes that are pervasive in science fields. However, as of yet, there is still no clear evidence on the role of mentor or advisor gender in reducing the STEM gender gap. We use rich administrative data from a private 4-year college to provide some of the first causal evidence on the impact of advisor gender on women's STEM degree attainment. We exploit a unique setting where students are randomly assigned to academic advisors--who are also faculty members--in their freshman year of college. We find that being matched to a female rather than a male science advisor substantially narrows the gender gaps in STEM enrollment and graduation, with the strongest effects occurring among students who are highly skilled in math. In contrast, the gender of an advisor from a non-science department has no impact on students' major choice. Our results indicate that providing close mentoring or advising by female scientists can play an important role in promoting women's participation and persistence in STEM fields.
Conceptualizing and measuring levels of segregation in higher education is difficult as both vertical and horizontal sorting is prevalent and patterns vary across racial groups. In this paper, we measure various trends in racial segregation in California for 20 years. We find that the most selective four-year campuses are the least segregated and that the community college sector is the most segregated. This fact has remained relatively stable over time. We also find that observed levels of Latinx-White segregation are lower than the hypothetical levels we would see if college choice were determined exclusively by geography. However, observed Asian-White segregation is higher than it would be if college attendance were determined exclusively by geography.
To estimate whether information can close socioeconomic gaps in parents’ aspirations for their child’s postsecondary education, we administer a four-armed survey experiment to a nationally representative sample of U.S. parents. After respondents estimate costs of and returns to further education, we ask whether they prefer that their child pursue a four-year degree, a two-year degree, or no further education. Before this question is posed, the treated are first told (1) the net annual costs of pursuing a four-year and two-year degree in their state, (2) the annual returns to four-year and two-year degrees as compared to no further education in their local area, or (3) both costs and returns. We find that information lowers aspirations overall and widens socioeconomic aspiration gaps. These effects do not vary with the magnitude of error between estimated and actual costs and returns. However, we find positive impacts on aspirations among parents who think their child is academically prepared for college.
Indiana, Oklahoma, and Washington have programs designed to address college enrollment and completion gaps by offering a promise of state-based college financial aid to low-income middle school students in exchange for making a pledge to do well in high school, be a good citizen, not be convicted of a felony, and apply for financial aid to college. Using a triple-difference specification, we find that Washington’s College Bound Scholarship shifted enrollment from out-of-state to in-state colleges at which the scholarship could be used. While we find suggestive evidence that the program increased the likelihood of attending a postsecondary institution and attaining a bachelor’s degree within five years of high school, we discuss why the program might be more successful if it did not require students to sign a pledge.
We examine whether virtual advising – college counseling using technology to communicate remotely – increases postsecondary enrollment in selective colleges. We test this approach using a sample of approximately 16,000 high-achieving, low- and middle-income students identified by the College Board and randomly assigned to receive virtual advising from the College Advising Corps. The offer of virtual advising had no impact on overall college enrollment, but increased enrollment in high graduation rate colleges by 2.7 percentage points (5%), with instrumental variable impacts on treated students of 6.1 percentage points. We also find that non-white students who were randomly assigned to a nonwhite adviser exhibited stronger treatment effects.
Holzer and Baum’s recent book, ‘Making College Work: Pathways to Success for Disadvantaged Students,’ provides an excellent up-to-date review of higher education. My review first summarizes its key themes: 1) who gains from college and why? 2) mismatch and the need for more structure; 3) problems with remediation; 4) financial barriers and 5) the promise of comprehensive support. I then critique the book’s proposed solutions using some of my own qualitative and quantitative data. Some recommendations are worth considering, while others are too expensive or unlikely to make a meaningful difference without addressing the underlying lack of preparedness and motivation of college students. I argue that making mandatory some existing services, such as application assistance and advice, proactive tutoring and advising, and greater career transition support, has the most immediate potential.
Research suggests that earning college credits in high school increases the likelihood of postsecondary progress and graduation. In this study, we measure the impact of dual enrollment in high school and college courses through the College Now (CN) program on college enrollment for students in New York City. We use a regression discontinuity design (RDD) that estimates the causal local average effect of the treatment — eligibility for dual enrollment in college classes while in high school — on college enrollment. We find that being eligible for CN leads to a 7% point increase in the likelihood of college enrollment and an 8.6% point increase in the likelihood of enrollment in a four-year college. Students who were eligible for CN and enrolled in CN were 20% points more likely to enroll in college.
Do nudge interventions that have generated positive impacts at a local level maintain efficacy when scaled state or nationwide? What specific mechanisms explain the positive impacts of promising smaller-scale nudges? We investigate, through two randomized controlled trials, the impact of a national and state-level campaign to encourage students to apply for financial aid for college. The campaigns collectively reached over 800,000 students, with multiple treatment arms to investigate different potential mechanisms. We find no impacts on financial aid receipt or college enrollment overall or for any student subgroups. We find no evidence that different approaches to message framing, delivery, or timing, or access to one-on-one advising affected campaign efficacy. We discuss why nudge strategies that work locally may be hard to scale effectively.
In this paper we investigate the impact of a statewide program aimed at better aligning K-12 to higher education and improving college readiness. We replicate an earlier study focused on the effects of this program at one campus by employing detailed administrative data on the census of California students that enroll at all twenty-three campuses of the California State University (CSU) system. We evaluate whether the program has reduced remediation rates at CSU statewide and investigate whether program effects differ by student background. We find that participation in the Early Assessment Program reduces the average student’s probability of needing remediation at California State University by about 2-3 percentage points overall. Investigating heterogeneous treatment effects, we find the program effects are largely concentrated among students at the margin of remediation risk.