Search for EdWorkingPapers here by author, title, or keywords.
Access and admissions
We study within-family spillovers in college enrollment to show college-going behavior is transmissible between peers. Because siblings’ test scores are weakly correlated, we exploit college-speciﬁc admissions thresholds that directly affect older but not younger siblings’ college options. Older siblings’ admissibility substantially increases their own four-year college enrollment rate and quality of college attended. Their improved college choices in turn raise younger siblings’ college enrollment rate and quality of college chosen, particularly for families with low predicted probabilities of college enrollment. Some younger siblings follow their older sibling to the same campus but many upgrade by choosing other colleges. The observed spillovers are not well-explained by price, income, proximity or legacy effects, but are most consistent with older siblings transmitting otherwise unavailable information about the college experience and its potential returns. The importance of such personally salient information may partly explain persistent differences in college-going rates by income, geography and other characteristics that deﬁne a community.
We examine the effects of a comprehensive college transition program (CCTP) on four psychosocial outcomes associated with postsecondary success: sense of belonging, mattering, and academic and social self-efficacy. The CCTP operates on three four-year campuses and includes a range of supports, including shared academic courses, peer mentoring, and residential or common community spaces. We leverage the randomization of Angrist et al. (2014), but restrict our comparison to scholarship recipients with and without CCTP exposure. To account for differential attrition from the experimental sample, we rely on a “selection on observables” assumption for our primary analysis. Results suggest that the program significantly and substantially increased students’ sense of belonging and mattering, but had no effect on academic or social self-efficacy.
Up to three-fourths of college students can be classified as “non-traditional”, yet whether typical policy interventions improves their education and labor market outcomes is understudied. I use a regression discontinuity design to estimate the impacts of a state financial aid program aimed towards non-traditional students. Eligibility has no impacts on degree completion for students intending to enroll in community colleges or four-year colleges but increases bachelor’s degrees for students interested in large, for-profit colleges by four percentage points. I find no impacts on employment or earnings for all applicants. This research highlights challenges in promoting human capital investment for adults.
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.
In recognition of the complexity of the college and financial aid application process, and in response to insufficient access to family or school-based counseling among economically-disadvantaged populations, investments at the local, state, and federal level have expanded students’ access to college and financial aid advising. Experimental and quasi-experimental studies of these programs demonstrate that they can generate substantial improvements in the rate at which low-income students enroll and persist in college. While these programs are successful at the level of individual communities, the individualized, in-person college advising model faces numerous barriers to scale. In this paper, we report early results from an RCT of CollegePoint, an innovative, national college advising initiative that pursues a technology-enabled approach to provide students with sustained, intensive advising. Students assigned to CollegePoint are modestly more likely (1.5 percentage points, or 7.5 percent relative to the control) to enroll at the most selective colleges and universities (Barron’s 1 institutions), though we find no difference in enrollment patterns on other measures of college quality. We find suggestive evidence of variation in the impact of CollegePoint based on when students enrolled in the program. Students who enrolled in the spring of their junior year were 5.6 percentage points (22 percent relative to the control) more likely to enroll at one of the most selective colleges and universities in the country than students in the control group who also signed up in the spring of junior year but who were not assigned to the program.