Increases in the cost of higher education combined with record levels of outstanding student loan debt have led the federal government to implement several consumer information initiatives. This project focuses on ratings released through the US Department of Education’s College Affordability and Transparency Center (CATC). These ratings classify institutions according to price, graduation rates, and student loan debt. Our project aims to evaluate the impact of these rankings on both institution and student behavior using data from the National Center for Education Statistics, Integrated Postsecondary Education Data System. We plan to identify the causal impact of college ratings on a number of institution- and student-level outcomes, such as prices, financial aid awards, and student enrollment decisions using a regression discontinuity design. For example, we will test whether being rated as having “high” tuition prices has an impact on student applications or enrollment.  As the CATC ratings represent the likely precursors to proposed federal ratings system in which financial aid eligibility is tied to performance, our results have the potential to help inform the development of this high-stakes rating system.