There is widespread concern that economics does not attract as broad or diverse a pool of talent as it could. For example, less than one-third of undergraduates who receive degrees in economics are women, significantly lower than in math or statistics.
This article presents a case study of a new introductory undergraduate course at Harvard, “Using Big Data to Solve Economic and Social Problems,” that enrolled 400 students, achieved nearly a 50-50 gender balance, and was among the highest-rated courses in the college.
Share of Women in Economics Courses at Harvard, 2018-19 & 2019-20
This article summarizes the new course’s content and pedagogical approach. It then illustrates how this approach differs from that taken in traditional courses by showing how canonical topics – income inequality, tax incidence, and adverse selection – are taught differently.
Drawing upon students’ comments and prior research on effective teaching practices, we identify elements of the course’s approach that appear to underlie its success and could be applied in other settings:
We discuss how these ideas for improving instruction in economics in other college and high schools and provide free resources – lecture videos, slides, empirical projects – to facilitate such efforts.