-) Causality & correlation, treatment effects & selection and regression

-) Randomized control trials

-) Regression discontinuity designs

-) Difference-in-differences estimation

-) Instrumental variables

-) Power analysis and estimation uncertainty: Bootstrap and randomization inference

After taking this class, students will be familiar with the most important microeconometric evaluation techniques employed in the academic literature, with a particular focus on recent developments. Students will be able to understand current research papers employing these methods and critically assess their merits in different scenarios of evaluation.

Classroom presence is mandatory. Up to three absences will be tolerated.

The class is structured in lecture units and tutorial units. In the lecture units, the lecturer will present the different microeconometric evaluation techniques, that are the content of the course.

Midterm: 35%

Data work: 25%

Exam: 40%

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