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. The two-course sequence is open only to qualified PhD students from HKS, HBS, GSE, and HSPH, but occasionally others may be admitted at the discretion of the instructor (if the instructor is convinced that such individuals can perform well and would not negatively affect the nature and pace of the course).
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.