Despite a general rise in the return to college, likely due to technological change, the cost-benefit calculus facing prospective students can make the decision to invest in and attend college dauntingly complex. Philip Oreopoulos and Uros Petronijevic review research on the varying costs and benefits of higher education and explore in full the complexity of the decision to invest in and attend college. Optimal college attainment decisions are different for all prospective students, who diverge in terms of what they are likely to get out of higher education and what specific options might be best for them. Earnings of college graduates depend in important measure on the program of study and eventual occupation they choose. Students uninterested in or unable to complete a four-year college degree appear to benefit from completing a two-year degree. Prospective students may also face both financial constraints, which prohibit them from taking advantage of more education, and information problems and behavioral idiosyncrasies, such as reluctance to take on debt, which keep them from making optimal decisions about attending college. In their discussion of how student debt figures in the college investment, the authors note that some students borrow too little and, as a result, underinvest in their education. Carefully calculating the return on the college investment can help determine the “appropriate” amount of debt. Students are more likely to benefit from postsecondary education the more informed they are about the expenses associated with college and the potential options for financial aid, which can be extremely complex. To make the best college investment, Oreopoulos and Petronijevic stress, prospective students must give careful consideration to selecting the institution itself, the major to follow, and the eventual occupation to pursue. For any particular program at a particular school, anticipated future labor market earnings, the likelihood of completion, the costs, and the value of any student debt must all be factored into the assessment.

Future of Children sponsored this book project. We are grateful to our discussant, Amanda Pallais, the issue editors, and to participants at the Future of Children authors conference for helpful comments and suggestions. Any errors are those of the authors. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peerreviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.

This paper presents an independent large-scale experimental evaluation of two online goal-setting interventions. Both interventions are based on promising findings from the field of social psychology. Approximately 1,400 first-year undergraduate students at a large Canadian university were randomly assigned to complete one of two online goal-setting treatments or a control task. Additionally, half of treated participants also were offered the opportunity to receive follow-up goal-oriented reminders through e-mail or text messages in an attempt to test a cost-effective method for increasing the saliency of treatment. Across all treatment groups, we observe no evidence of an effect on GPA, course credits, or second year persistence. Our estimates are precise enough to discern a seven percent standardized performance effect at a five percent significance level. Our results hold by subsample, for various outcome variables, and across a number of specifications.

Any opinions expressed in this paper are those of the author(s) and not those of IZA. Research published in this series may include views on policy, but IZA takes no institutional policy positions. The IZA research network is committed to the IZA Guiding Principles of Research Integrity. The IZA Institute of Labor Economics is an independent economic research institute that conducts research in labor economics and offers evidence-based policy advice on labor market issues. Supported by the Deutsche Post Foundation, IZA runs the world's largest network of economists, whose research aims to provide answers to the global labor market challenges of our time. Our key objective is to build bridges between academic research, policymakers and society. IZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be available directly from the author.

Recent studies show that programs offering structured, one-on-one coaching and tutoring tend to have large effects on the academic outcomes of both high school and college students. These programs are often costly to implement and difficult to scale, however, calling into question whether making them available to large student populations is feasible. In contrast, interventions that rely on technology to maintain low-touch contact with students can be implemented at large scale and minimal cost but with the risk of not being as effective as one-on-one, in-person assistance. In this paper, we test whether the effects of coaching programs can be replicated at scale by using technology to reach a larger population of students. We work with a sample of over four thousand undergraduate students from a large Canadian university, randomly assigning students into one of the following three interventions: (i) a one-time online exercise designed to affirm students' values and goals; (ii) a text messaging campaign that provides students with academic advice, information, and motivation; and (iii) a personal coaching service, in which students are matched with upper-year undergraduate coaches. We find large positive effects from the coaching program, as coached students realize a 0.3 standard deviation increase in average grades and a 0.35 standard deviation increase in GPA. In contrast, we find no effects from either the online exercise or the text messaging campaign on any academic outcome, both in the general student population and across several student subgroups. A comparison of the key features of the text messaging campaign and the coaching service suggests that proactively and regularly initiating conversations with students and working to establish trust are important design features to incorporate in future interventions that use technology to reach large populations of students.