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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.
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.
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 a flipped classroom, an increasingly popular pedagogical model, students view a video lecture at home and work on exercises with the instructor during class time. Advocates of the flipped classroom claim the practice not only improves student achievement, but also ameliorates the achievement gap. We conduct a randomized controlled trial at West Point and find that the flipped classroom produced short term gains in Math and no effect in Economics, but that the flipped model broadened the achievement gap: effects are driven by white, male, and higher achieving students. We find no long term average effects on student learning, but the widened achievement gap persists. Our findings demonstrate feasibility for the flipped classroom to induce short term gains in student learning; however, the exacerbation of the achievement gap, the effect fade-out, and the null effects in Economics suggest that educators should exercise caution when considering the model.
This paper uses Advanced Placement (AP) exams to examine how receiving college credit in high school alters students’ subsequent human capital investment. Using data from one large state, I link high school students to postsecondary transcripts from in-state, public institutions and estimate causal impacts using a regression discontinuity that compares students with essentially identical AP performance but who receive different offers of college credit. I find that female students who earn credit from STEM exams take higher-level STEM courses, significantly increasing their depth of study, with no observed impacts for males. As a result, the male-female gap in STEM courses taken shrinks by roughly one-third to two-thirds, depending on the outcome studied. Earning non-STEM AP credit increases overall coursework in non-STEM courses and increases the breadth of study across departments. Early credit policies help assist colleges to produce graduates whose skills aligns with commonly cited social or economic priorities, such as developing STEM graduates with stronger skills, particularly among traditionally underrepresented groups.
Policymakers are increasingly including early-career earnings data in consumer-facing college search tools to help students and families make more informed post-secondary education decisions. We offer new evidence on the degree to which existing college-specific earnings data equips consumers with useful information by documenting the level of selection bias in the earnings metrics reported in the U.S. Department of Education’s College Scorecard. Given growing interest in reporting earnings by college and major, we focus on the degree to which earnings differences across four-year colleges and universities can be explained by differences in major composition across institutions. We estimate that more than three-quarters of the variation in median earnings across institutions is explained by observable factors, and accounting for differences in major composition explains over 30 percent of the residual variation in earnings after controlling for institutional selectivity, student composition, and local cost of living differences. We also identify large variations in the distribution of earnings within colleges; as a result, comparisons of early-career earnings can be extremely sensitive to whether the median, 25th, or 75th percentiles are presented. Taken together, our findings indicate that consumers can easily draw misleading conclusions about institutional quality when using publicly available earnings data to compare institutions.