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Testing Means-Tested Aid

Journal of Labor Economics 2023 41(3), 687-727 open access
We estimate the effect of an unexpected institutional financial aid (IFA) award on student outcomes using administrative data collected from nine universities, exploiting variation in IFA schedules within and across university-entry cohorts. Each £1,000 of IFA during the first year of college increases the chances of completing that year by 1.4 percentage points, improves test scores by 0.059 standard deviations, and increases the chances of graduating with a good degree by 3.4 percentage points. We find that high-ability and low-income students benefit the most and calculate outcome-maximizing and cost-minimizing IFA schedules for each university.

Class Rank and Long-Run Outcomes

The Review of Economics and Statistics 2023 105(6), 1426-1441
This paper considers an unavoidable feature of the school environment, class rank. What are the long-run effects of a student's ordinal rank in elementary school? Using administrative data on all public school students in Texas, we show that students with a higher third-grade academic rank, conditional on achievement and classroom fixed effects, have higher subsequent test scores, are more likely to take AP classes, graduate from high school, enroll in and graduate from college, and ultimately have higher earnings nineteen years later. We also discuss the necessary assumptions for the identification of rank effects and propose new solutions to identification challenges. The paper concludes by exploring the trade-off between higher-quality schools and higher rank in the presence of these rank-based peer effects.