A topics class in statistical methods for PhD students. Topics covered includes Bayesian methods, causal inference, text analysis, item-response models, and others. Taught with a mix of lecture, discussion, and student presentations. Designed for second-year graduate students. Taught with Arthur Spirling.

• Causal Inference 1: Potential Outcomes and Selection on Observables (Slides)
• Causal Inference 2: Instrumental Variables (Slides)
• Causal Inference 3: Regression Discontinuity Designs (Slides)
• Causal Inference 4: Panel Data (Slides)