Applied Econometrics

This course equips students with the tools to critically evaluate empirical research through the lens of causal inference. Emphasizing real-world policy relevance over statistical correlation, it introduces students to identification strategies that approximate randomized trials using observational data. Students will explore advanced econometric methods, including instrumental variables, difference-in-differences, fixed effects, regression discontinuity, and synthetic controls, while examining their strengths and limitations in drawing causal conclusions.

Designed for students with prior coursework in quantitative methods (U6500 and U6501), this course stresses conceptual rigor and applied skills. Assignments include STATA-based replication exercises, a research design proposal, and seminar engagement. Readings and examples draw from policy-relevant domains such as health, education, and environmental economics. Students will leave the course with a deeper understanding of how to produce, assess, and apply causal evidence to inform public decision-making.