Many selective colleges consider the backgrounds of applicants to improve equity in admissions. However, this information is usually not available for all applicants. We examine whether the chances of admission and enrollment changed after 43 colleges gained access to a new tool that standardizes information on educational disadvantage for all…

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…

It is often difficult and costly to obtain individual-level student achievement data, yet, researchers are frequently reluctant to use school-level achievement data that are widely available from state websites. We argue that public-use aggregate school-level achievement data are, in fact, sufficient to address a wide range of evaluation questions…

There is considerable variation in how providers of digital education describe what they do, their services, how students access services, and what is delivered, complicating efforts to accurately assess its impact. We examine program characteristics of digital tutoring providers using rich, longitudinal observational and interview data and then…

This article develops a simple model of teacher value-added to show how efficient use of information across subjects can improve the predictive ability of value-added models. Using matched student-teacher data from North Carolina, we show that the optimal use of math and reading scores improves the fit of prediction models of overall future…