API-114 and API-115 comprise a two-course sequence for first-year doctoral students seeking training in econometric methods at a level that prepares them to conduct professional empirical research. API-115 (spring) covers topics (different methods) in current empirical research. Faculty members from across the university will teach modules each covering a different method of causal inference, including but not limited to instrumental variables, regression discontinuity and kink designs, machine learning and panel data methods. The course will emphasize a mixture of theory and application, with problem sets focused on the replication or extension of recent papers utilizing these methods.
Also offered by the Economics Department as Economics 2115 and the Business School as 4175. This course is designed for PhD candidates in health policy, public policy, education policy, the Business School DBA program. Qualified undergraduates or master’s students are also permitted to take the course with permission of the instructor.
Please note that the exam for this course will now be held from 9:00am-12:00pm on Friday 5/10.
Prerequisite: API-114 or the equivalent.