Advanced Econometrics and Data Science

This course will develop students' understanding of causal inference in cutting-edge empirical research. Students will develop tools for their own work and enhance their ability to critically evaluate research in the social sciences. How should a researcher approach an empirical question? How should a policymaker evaluate the impact of a program? Topics include randomized experiments, instrumental variables, panel data, regression discontinuity designs and machine learning. Applications will emphasize research on the frontier of applied microeconomics.

Units: 1

Max Enrollment: 20

Prerequisites: Either ECON 203 or QR 260/STAT 260, and either ECON 201 or MATH 205.

Instructor: Park

Distribution Requirements: SBA - Social and Behavioral Analysis

Typical Periods Offered: Spring

Semesters Offered this Academic Year: Fall