Teaching

I have assisted this PhD course through detailed feedback-driven problem set correction, exam correction, and office hours aimed at reinforcing key concepts and methods.

Core Topics of the TA Sessions:
• Model (miss-)specification & functional form: misspecified CEFs, non-linear regressions, LIFE models
• Causal inference, treatment effects, matching, selection models
• Likelihood-based & panel data models: Poisson, pseudo-MLE, fixed and random effects
• Research credibility: power analysis, meta-studies, publication bias

A more complete list of the topics covered is in the syllabus.

I supported this course through problem set and exam correction, lecture assistance, and active involvement in classroom activities. In addition, I moderated debates, delivered selected lectures during my TA sessions, and designed applied research tasks that required students to present their findings as if reporting to higher-level authorities, an approach intended to strengthen both research thinking and policy communication skills.

Lectures Delivered:
• Binary Dependent Variables
• Differences-in-Differences (incl. Synthetic Controls)
• Standard Error Management
• Instrumental Variables, 2SLS, and LATE
• Regression Discontinuity Design (RDD)
• Randomized Controlled Trials (RCTs)

In addition to the main course, I also served as TA for the associated seminar in Spring 2024, Fall 2024, and (upcoming) Fall 2025. The syllabus for Fall 2024 is available here. Evaluations are, unfortunately, not available, as the class is formally not a course.

I supported this Master's-level course through detailed problem set correction and exam grading across multiple semesters.

Core Topics of the TA Sessions:
• Theoretical foundations of banking panics and bank runs
• Credit booms and asset bubbles
• Sovereign debt crises: enforcement problems and historical case studies
• International lending: syndicated debt, default risk, and cross-border externalities