This course studies the cornerstone empirical methodologies that underlie program/policy evaluation. It provides students insights into experimental design, the estimation of treatment effects, and counterfactual analysis.
This course introduces students to using R for data cleaning, exploratory analysis, econometric modeling, and data visualization.
This course introduces students to the foundations of econometric analysis used in future courses. It explores the ideas behind hypothesis testing, asymptotic theory, and the ordinary least squares (OLS) framework with matrix algebra.
Best TA award (Master 1) for 2023