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In this course we aim to teach modern approaches to causal inference in econometrics. In the past years methodologies such as difference-in-differences (DiD) and regression discontinuity (RDD) have become increasingly popular among socio-economic researchers. We will look critically at these methods and see which research questions they will allow us to answer and how we’ll be able to answer these. We will start at the basics with the potential outcomes framework and a refresher of linear regression. Then we’ll move on to binary choice problems, DiD, RDD, and instrumental variables (IV). We aim at discussing the possibilities these approaches offer as well as their limitations.