Spring 2026 Sustainable Development IA9280 section 001

Causal Inference Workshop

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