Using dissertation research topics found in the EconLit database and large-scale algorithmic methods that identify author demographics based on names, we explore the link between race and ethnicity and fields of economic research. We find that underrepresented racial and ethnic minority (URM)...

Using the EconLit dissertation database and large-scale algorithmic methods that identify author demographics from names, we investigate the connection between the gender of economics dissertators and dissertation topics. Despite stagnation in the share of women among economics Ph.D.s in recent...

In recent decades, Chinese researchers have become preeminent contributors to the scientific enterprise, as reflected by the number of publications originating from Chinese research institutions. China's rise in science has the potential to push forward the global frontier, but mere production...

The Nobel Prize in Physiology or Medicine is the most prestigious and coveted award in medical research. Anecdotal evidence and related research suggest that receiving it may adversely affect research productivity. We compared the post-Nobel research output of laureates (prize years: 1950-2010)...

Concern exists that public funding of science is increasingly risk averse. Funders have addressed this concern by soliciting the submission of high-risk research to either regular or specially designed programs. Little evidence, however, has been gathered to examine the extent to which such...

The close connection between US and China in scientific research and education in the 2000s produced a large group of China-born researchers who work in the US ("diaspora") and a larger group of China-born researchers who gained US-research experience and returned to do their research in China...

This paper examines whether publication data matched to the Survey of Doctorate Recipients can be used for research purposes. We use Gold Standard data created to validate the publication match quality and compare these measures to publications assigned by a machine-learning algorithm developed...

Non-financial barriers to college are an important possible explanation for socioeconomic, racial, gender, and other gaps in college access and success. A sizeable economic literature documents policy efforts to understand and address these barriers. We review this literature on non-financial...

This paper introduces a new measure of the labor markets served by colleges and universities across the United States. About 50 percent of recent college graduates are living and working in the metro area nearest the institution they attended, with this figure climbing to 67 percent in-state....

We develop a multi-agent model of the education production function where investments of students, parents, and teachers are linked to the presence of minorities in the classroom. We then test the key implications of this model using rich survey data and a mandate to randomly assign students to...