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Between 2005 and 2016, international enrollment in US higher education nearly doubled. I examine how trade shocks in education affect public universities' decision-making. I construct a shift-share instrument exploiting institutions' historical networks with different origins of international students, income growth, and exchange rate fluctuations. Contrary to the critics that US-born students are crowded out, I find international students increase schools' funding via tuition payments, leading to increased in-state enrollment and lower tuition prices. Schools also keep steady per-student spending and recruit more students with high math scores. Lastly, states allocate more appropriations to universities attracting fewer international students.
A wide research base has documented the unequal access to and enrollment in K-12 gifted and talented services and other forms of advanced learning opportunities. This study extends that knowledge base by integrating multiple population-level datasets to better understand correlates of access to and enrollment in gifted and talented services, seventh-grade Algebra 1, and eighth-grade Geometry. Results show that states vary widely with some serving 20% of their students as gifted while others serve 0%. Similarly, within-district income segregation, income-related achievement gaps, and the percent of parents with a college degree are the dominant predictors of a school offering these opportunities and the size of the school population served.
We provide a descriptive analysis of within-school and neighborhood similarity in high school applications in New York City. We depart from prior work by examining similarity in applications to specific schools rather than preferences for school characteristics. We find surprisingly low similarity within schools and neighborhoods, but substantial variation by race and prior achievement. White and Asian students are more likely to have choices in common relative to Black and Hispanic students, a difference that persists after controlling for achievement and location. Likewise, higher-achieving students are more likely to have choices in common, conditional on other student characteristics and location. An implication is that students’ likelihood of attending high school without any peers from their middle school or neighborhood varies by student background.
We provide theory and evidence about how the design of college financial aid programs affects a variety of high school, college, and life outcomes. The evidence comes from an eight-year randomized trial where 2,587 high school ninth graders received a $12,000 merit-based grant offer. During high school, the program increased their college expectations and non-merit effort but had no effect on merit-related effort (e.g., GPA). After high school, the program increased graduation from two-year colleges only, apparently because of the free college design/framing in only that sector. But we see no effects on incarceration or teen pregnancy. Overall, the results suggest that free college affects student outcomes in ways similar to what advocates of free college suggest and making aid commitments early, well before college starts, increases some forms of high school effort. But we see no evidence that merit requirements are effective. Both the standard human capital model and behavioral economics are required to explain these results.
Enrollment increased slightly at both the California State University and University of California systems in fall 2020, but the effects of the pandemic on enrollment in the California Community College system are mostly unknown and might differ substantially from the effects on 4-year colleges. This paper provides the first analysis of how the pandemic impacted enrollment patterns and the academic outcomes of community college students using administrative college-level panel data covering the universe of students in the 116-college California Community College system. We find that community college enrolment dropped precipitously in fall 2020 – the total number of enrolled students fell by 4 percent in spring 2020 and by 15 percent in fall 2020 relative to the prior year. All racial and ethnic groups experienced large enrollment decreases in spring and fall 2020, but African-American and Latinx students experienced the largest drops at 17 percent in fall 2020. Enrollment fell the most for first-year students in the community college system, basic skills courses, and fields such as engineering/industrial technology, education, interdisciplinary studies, and art. There were smaller decreases for continuing students, academic courses transferable to four-year institutions, and business and science fields. Enrollment losses were felt throughout the entire community college system, and there is no evidence that having a large online presence in prior years protected colleges from these effects. In terms of course performance, there was a larger disruption to completion rates, withdrawal rates, and grades in spring 2020 than in fall 2020. These early findings of the effects of the pandemic at community colleges, which serve higher percentages of lower-income and minority students, have implications for policy, impending budgetary pressures, and future research.
Using individual data from PIAAC and aggregate data on GDP and unemployment for the US, Europe, and Spain, we test how macroeconomic conditions experienced at age eighteen affect the following decisions in post-secondary and tertiary education: i) enrollment ii) dropping-out, iii) type of degree completed, iv) area of specialization, and v) time-to-degree. We also analyze how the effects differ by gender and parental background. Our findings are different for each of these geographies, which shows that the impacts of macroeconomic conditions on higher education decisions depend on context, such as labor markets and education systems. By analyzing various components of higher education together, we are able to obtain a clearer picture of how potential mechanisms linked to lower opportunity costs of education and reduced ability to pay during economic downturns interact to determine student selection.
Employers may favor applicants who played college sports if athletics participation contributes to leadership, conscientiousness, discipline, and other traits that are desirable for labor-market productivity. We conduct a resume audit to estimate the causal effect of listing collegiate athletics on employer callbacks and test for subgroup effects by ethnicity, gender, and sport type. We applied to more than 450 jobs on a large, well-known job board. For each job listing we submitted two fictitious resumes, one of which was randomly assigned to include collegiate varsity athletics. Overall, listing a college sport does not produce a statistically significant change in the likelihood of receiving a callback or interview request. However, among non-white applicants, athletes are 3.2 percentage points less likely to receive an interview request (p = .04) relative to non-athletes. We find no statistically significant differences among males or females.
The quality of college education is hard for students and employers to observe. Knowing this, colleges often change their names to signal higher quality while leaving other features unchanged. We study how these changes affect college choice and labor market performance of college graduates. Using administrative data, we show that name-changing colleges attract more qualified applicants, with larger effects among applicants who have less information about the college. Text from web discussion boards reveals many college applicants lack important information about colleges. A resume audit study shows employers possess nearly perfect information about how college name changes affect student aptitude.
We consider the case in which the number of seats in a program is limited, such as a job training program or a supplemental tutoring program, and explore the implications that peer effects have for which individuals should be assigned to the limited seats. In the frequently-studied case in which all applicants are assigned to a group, the average outcome is not changed by shuffling the group assignments if the peer effect is linear in the average composition of peers. However, when there are fewer seats than applicants, the presence of linear-in-means peer effects can dramatically influence the optimal choice of who gets to participate. We illustrate how peer effects impact optimal seat assignment, first under a general social planner utility function and then from both an efficiency and an equity perspective. We next use data from a recent job training RCT to provide the first evidence of large peer effects in the context of job training for disadvantaged adults. Finally, we combine the two results to show that the program's effectiveness varies greatly depending on whether the assignment choices account for or ignore peer effects.
The transfer between two-year and four-year colleges is a critical path to baccalaureate attainment. Yet, students face a number of barriers in transfer pathways, including a lack of coherent coordination and articulation between their community colleges and four-year institutions, resulting in excess units and increased time to degree. In this paper we evaluate the impact of California’s Student Transfer Achievement Reform Act, which aimed to create a more seamless pathway between the Community Colleges and the California State University. We investigate whether the reform effort met its intended goal of improving baccalaureate receipt, and greater efficiency in earning these degrees, among community college transfer students. We tease out plausibly causal effects of the policy by leveraging the exogenous variation in the timing of the implementation of the reform in different campuses and fields of study. We find that this reform effort has led to significant reductions in time to baccalaureate receipt among community college transfers and reduced total unit accumulation. These positive effects were shared across all student subgroups.