Economics

-The problem of causality in policy evaluation -Non-experimental statistical methods and the counterfactual approach -Matching and subclassification -Difference-in-Differences -Synthetic control method -Regression Discontinuity Design

Previous abilities and skills cannot be required for any specific course. However, it is recommended that students have some basic knowledge of statistics and the main econometric models.

Cunningham, S. (2021). Causal inference: The mixtape. Yale university press.

Class attendance is highly recommended.

The exam consists of a project based on the analysis of a dataset and the application of one or more of the methods covered in the course. The project is submitted in advance and discussed orally on the exam day.

Classes will be based on an in-person type of teaching. A mixed-use of presentations, board and statistical software will be adopted.