This paper reports results from a resume-based field experiment designed to examine employer preferences for job applicants who attended for-profit colleges. For-profit colleges have seen sharp increases in enrollment in recent years despite alternatives, such as public community colleges, being much cheaper. We sent almost 9,000 fictitious resumes of young job applicants who recently completed their schooling to online job postings in six occupational categories and tracked employer callback rates. We find no evidence that employers prefer applicants with resumes listing a for-profit college relative to those whose resumes list either a community college or no college at all. C 2015 by the Association for Public Policy Analysis and Management.

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Background Given the importance of engineers to a nation's economy and potential innovation, it is imperative to encourage more students to consider engineering as a college major. Previous studies have identified a broad range of high school experiences and demographic factors associated with engineering major choice; however, these factors have rarely been ranked or ordered by relative importance. Purpose/Hypothesis This study leveraged comprehensive, longitudinal data to identify which high school‐level factors, including high school characteristics and student high school experiences as well as student demographic characteristics and background, rank as most important in terms of predictive power of engineering major choice. Design/Method Using data from a nationally representative survey, the High School Longitudinal Study of 2009, and the random forest method, a genre of machine learning, the most important high school‐level factors in terms of predictive power of engineering major choice were ranked. Results Random forest results indicate that student gender is the most important variable predicting engineering major choice, followed by high school math achievement and student beliefs and interests in math and science during high school. Conclusions Gender differences in engineering major choice suggest wider ranging cultural phenomena that need further investigation and systemic interventions. Research findings also highlight two other areas for potential interventions to promote engineering major choice: high school math achievement and beliefs and interests in math and science. Focusing interventions in these areas may lead to an increase in the number of students pursuing engineering.

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We study the effects of access to high school math and science courses on postsecondary science, technology, engineering, and mathematics (STEM) enrollment and degree attainment using administrative data from Missouri. Our data include more than 140,000 students from 14 cohorts entering the 4-year public university system. The effects of high school course access are identified by exploiting plausibly exogenous variation in course offerings within high schools over time. We find that differential access to high school courses does not affect postsecondary STEM enrollment or degree attainment. Our null results are estimated precisely enough to rule out moderate impacts.

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A prominent concern is that college students are harming their long-term economic prospects by making student loan decisions without full information about the implications of their choices. We designed an experiment to examine students' responses to a debt letter, an increasingly popular strategy to provide easily accessible information about student loans. The debt letters are modeled after requirements in recent state laws that attempt to encourage students to make informed borrowing decisions. Our results suggest that information alone is not sufficient to systematically change students' borrowing choices. The debt letter led to no change in the amount that students borrow or the likelihood that they will borrow. We supplement results from the experiment with semistructured interviews to examine why the intervention did not change behavior.