| Call Number | 14754 |
|---|---|
| Day & Time Location |
F 9:00am-10:00am To be announced |
| Points | 1.5 |
| Grading Mode | Pass/Fail |
| Approvals Required | None |
| Instructor | Suresh Naidu |
| Type | WORKSHOP |
| Method of Instruction | In-Person |
| Course Description | 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.
|
| Web Site | Vergil |
| Department | PHD-SUSTAINABLE DEVELOPMENT |
| Enrollment | 0 students (20 max) as of 12:06PM Sunday, November 2, 2025 |
| Subject | Sustainable Development |
| Number | IA9280 |
| Section | 001 |
| Division | School of International and Public Affairs |
| Open To | GSAS |
| Section key | 20261SDEV9280U001 |