|Day & Time
1102 International Affairs Building
|Method of Instruction
This 14-week workshop designed for the students in the PhD program in Sustainable Development covers the fundamental theory and techniques of causal inference. Specifically tailored to students trained in econometrics and positioned to conduct interdisciplinary research, it systematically ties back the econometrics approaches covered to the underlying statistical framework and provides the students with the tools to conduct rigorous empirical analyses, and share and defend their approach in front of both economics and non-economics audiences. Lower-year students learn the fundamental methods for observational studies, upper-year students discuss how they employ them in their own current research. Participants are presented with the most common methods in the field, their limitations, and best practices, and introduced to underused statistical methods for causal inference.
|International and Public Affairs
|12 students (20 max) as of 4:06PM Saturday, February 24, 2024
|School of International and Public Affairs