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This study investigates how exposure to a field of study influences students’ major choices. If students have incomplete information, exposure potentially helps them to learn about the scope of a field as well as how well the field matches their interest and abilities. We exploit a natural experiment where university students have to write a research paper in business, economics, or law during their first year before they choose a major. Due to oversubscription of business papers, the field of the paper is assigned quasi-randomly. We find that writing in economics raises the probability of majoring in economics by 2.7 percentage points. We show further that this effect varies across subfields: the effect is driven by assignment to topics less typical of the public's perception of the field of economics, suggesting students learn through exposure that the field is broader than they thought. [ABSTRACT FROM AUTHOR]

This paper uses data from the central admission system for Danish post-secondary education merged with other administrative data. Applicants for admission may rank up to eight educational programmes, and I focus on first-time applicants whose first-choice are bachelor's degree university programmes with restricted admission, i.e. with an admission threshold defined in terms of the grade point average obtained from upper secondary school. Using threshold crossing as an instrument for admission in a regression discontinuity design, I find that being admitted to the first-choice programme increases the probability of completing a master's degree in that subject by about 20 percentage points. There is no clear evidence that being admitted to one of the higher degree programmes listed on the application has an effect on years of education or the probability of completing a master's degree (although point estimates indicate small positive effects). There is no robust statistically significant effect on earnings 11 years after application. [ABSTRACT FROM AUTHOR]

Many students who enter college are insufficiently prepared to follow a demanding college-level curriculum. Thus, higher education institutions often require low-performing students to repeat failed courses, a full term, or even a full year. This paper is the first to investigate the effects of such a “(grade) retention” policy on student performance in higher education. We study a setting where first-year undergraduates who fall short of a pre-defined performance requirement have to repeat all first-year courses before they can proceed to the second year. To determine the causal effect of retention and repetition on student performance, we apply a sharp regression discontinuity design to administrative data from a Swiss university. Based on a sample of 5000 students, we find that grade retention increases dropout probabilities after the first year by about 10 percentage points. Repetition of a full year persistently boosts grade point averages by about 0.5 standard deviations, but does not affect study pace and major choices. [ABSTRACT FROM AUTHOR]

In their recent paper “(Un)informed College and Major Choice: Evidence from Linked Survey and Administrative Data,” Hastings, Neilson, Ramirez, & Zimmerman (2016) provide an informal costly-information model, linking family background to students’ beliefs about educational costs and benefits. They verify predictions of their model using a data set of beliefs about college institutions and majors among Chilean college applicants and students. I test some of those same predictions using a data set of beliefs about college institutions and different levels of college education among high school students in the United States. I verify their predictions, with some exceptions, supporting the use of their costly-search model. [ABSTRACT FROM AUTHOR]

Using student evaluations of their instructor as an outcome measure, we estimate and compare class size and teacher effects for higher education, with an emphasis on determining whether a comprehensive class size reduction policy that draws on the hiring of new teachers is likely to improve educational outcomes. We find that first time teachers perform significantly worse than their peers, and we find substantial class size effects. Hence higher education institutions face a tradeoff if they wish to increase admission. This tradeoff implies that as class size increases, at first the negative class size effect is smaller than that of introducing a first time teacher. However, beyond a certain level, the class size effect dominates and it is better to create a new class with a first time teacher. 1 1 We would like to thank Matías Covarrubias and Fernanda Rojas for excellent research assistance. We would also like to thank comments received in the internal workshop of Pontificia Universidad Católica de Chile’s Economics Department and in the 2011 Yearly Congress of the Economics Society of Chile. We also thank two anonymous referees whose advice greatly improved the paper. The usual disclaimer applies. [ABSTRACT FROM AUTHOR]

In the face of shrinking government budgets and a growing need to train a high-skilled labor force, policymakers have become increasingly interested in cost-effective measures that induce more students to apply to and enroll in college. In this paper, we use a regression discontinuity design to identify the causal effect of students receiving information about their own college-readiness after taking the ACT on their subsequent college enrollment decisions. Using data from Colorado, where all high school students are required to take the ACT, we find that students who receive information that they are college-ready are no more likely to attend college than those that do not receive this information. We discuss possible reasons for these findings. [ABSTRACT FROM AUTHOR]

The female advantage in college enrollment and completion has generated concern among university officials and sparked debate about gender-conscious college admissions. There are a number of explanations for this increasing gender imbalance on college campuses. This paper focuses on the role played by admissions policies that base decisions solely on applicants’ high school grades. Given that females earn higher grades than males, such policies can contribute to growing female shares in admissions. To exemplify this trend, I use publicly-available data from Texas to show that the Texas Top 10% plan, which guarantees public university admission to students who graduate in the top decile of their high school class, led to an increase in the female share of accepted students. The increase was particularly large among black students, where the female share of admitted students was already highest among the major racial/ethnic groups. [ABSTRACT FROM AUTHOR]

Community colleges play a major role in postsecondary education, yet previous research has emphasized the impact of merit aid on four-year students rather than two-year students. Furthermore, researchers have focused on the impact of merit aid on enrollment and outcomes during college, but to my knowledge, none have yet considered the impact of aid on earnings after college. This paper utilizes discontinuities in eligibility criteria for a large merit scholarship to examine the local impact of aid on student outcomes both during college and after college. The findings suggest that reducing the cost of community college does not impact persistence, academic performance, degree completion, expected earnings, or short-term earnings after college for marginally eligible students. [ABSTRACT FROM AUTHOR]

This paper develops a general methodology for measuring the value added of institutions of higher education using commonly available administrative data. Our approach recognizes the data limitations and selection problems inherent in higher education, and highlights the challenges these issues pose for education policy. Combining information from different administrative sources in the state of Texas, we follow the universe of Texas college applicants from the time of application (pre-enrollment) through public college and into the labor market. In specifications that do not control for selection, we find large, significant differences across colleges in terms of persistence, graduation, and earnings; however, these differences decrease substantially when we control for selection. In light of the growing interest in using value-added measures in higher education for both funding and incentivizing purposes, our methodology offers unique evidence and lessons for policy makers. [ABSTRACT FROM AUTHOR]

This paper uses variation in the timing of parental layoff to identify the effect of parental job loss on higher education enrollment. Unlike research that compares laid-off workers to workers who do not lose their jobs, all families in our analysis experience a layoff at some point. The treatment group (layoff when child is 15–17) and control group (layoff when child is 21–23) have statistically indistinguishable initial characteristics, but substantially different higher education enrollment rates. We find that parental job loss between ages 15 and 17 decreases college enrollment by 10 percentage points. [ABSTRACT FROM AUTHOR]