Advanced Econometrics: Methods for Causal Inference and Program Evaluation

3 credits · School of Public Policy

This course covers statistical and econometric methods for inferring causal relationships in public policy. The first part of the course will review material from introductory statistics including summarizing data, classical hypothesis testing, and constructing and interpreting confidence intervals. The second part of the course will focus on the mechanics of ordinary least squares (OLS) regression. The third part of the course will cover econometric methods used for inferring causal relationships in public policy and program evaluation, including randomized controlled trials (RCTs), difference-in-differences (DD), and regression discontinuity (RD).