Lecture 1 (Tuesday, February 20, 12:30) - Introduction to the course, example of an empirical analysis inspired by one research paper

Lecture 2 (Tuesday, February 27, 12:30) – Microeconometric analysis - data sources, usual empirical problems, introduction to identification strategies

Lecture 3 (Tuesday, March 5, 12:30) - Controlled experiments

Seminar 1 (Thursday, March 7, 15:30) - Discussion of experiments, Introduction to Stata

Lecture 4 (Tuesday, March 12, 15:30) - Natural experiments I - difference-in-differences estimation

Lecture 5 (Tuesday, March 19, 12:30) - Difference-in-differences continued - triple difference, robustness

Seminar 2 (Thursday, March 21, 15:30) - Applying difference-in-differences in practice

Lecture 6 (Tuesday, March 26, 12:30) - Synthetic control function

Lecture 7 (Tuesday, April 2, 12:30) - Natural experiments II - natural experiments as instruments

Seminar 3 (Thursday, April 4, 15:30) - Applying synthetic control function in practice

Lecture 8 (Tuesday, April 9, 12:30) - Further issues with instrumental variable estimation

Seminar 4 (Thursday, April 11, 15:30) - instrumental variable estimation in Stata, checking quality of instruments

Lecture 9 (Tuesday, April 16, 12:30) - Regression discontinuity - sharp

Lecture 10 (Tuesday, April 23, 12:30) – Regression discontinuity - fuzzy

Seminar 5 (Thursday, April 25, 15:30) - applying regression discontinuity in practice - randomization checks, method choice, etc.

Lecture 11 (Tuesday, April 30, 12:30) – Matching models
Lecture 12 (Tuesday, May 7, 12:30) - Matching models

Seminar 6 (Thursday, May 9, 15:30) – matching models in practice

Thursday, May 16 (15:30), Tuesday, May 21 (12:30), Thursday, May 23 (15:30) – Student presentations: final projects