Measuring average differences in an outcome across racial or ethnic groups is a crucial first step for equity assessments, but researchers often lack access to data on individuals' races and ethnicities to calculate them. A common solution is to impute the missing race or ethnicity labels using...

The estimation of racial disparities in various fields is often hampered by the lack of individual-level racial information. In many cases, the law prohibits the collection of such information to prevent direct racial discrimination. As a result, analysts have frequently adopted Bayesian...

We evaluate a randomized pilot study in which the IRS sent informational letters to 3.9 million taxpayers who paid a tax penalty for lacking health insurance coverage under the Affordable Care Act. Drawing on administrative data, we study the effect of the intervention on taxpayers' subsequent...

In many settings, decision-makers' behavior is observed to vary based on seemingly arbitrary factors. Such framing effects cast doubt on the welfare conclusions drawn from revealed preference analysis. We relax the assumptions underlying that approach to accommodate settings in which framing...

Recent proposals to expand the Child Tax Credit (CTC) are at the center of current policy discussions in the United States. We study the fiscal cost of three such proposals that would expand refundability of the credit to low-income children, increase the maximum credit amount, and/or eliminate...

Deciding how much to save for retirement can be complicated. Drawing on a field experiment conducted with the Department of Defense, we study whether such complexity depresses participation in an employer-sponsored retirement saving plan. We find that simplifying one dimension of the enrollment...