About the course
Correlation is not causation, this has since long been known to analysts in the social sciences. The ultimate method to obtain causal estimates is to conduct an experiment with treatment and control groups. In the social sciences, experiments may be used in some contexts, but often this alternative is not applicable or even inappropriate because the experimental situation in itself is too synthetic and deviates from normal life. Analysts thus have to work with observational data, which often miss information crucial for making causal interpretations of statistical associations. However, under some circumstances and subject to specific assumptions, one can interpret estimated associations as casual with substantially higher confidence. This course deals with methods that can be used under such circumstances and subject to the specific assumptions. The course offers practical skills in implementing these methods and the theoretical skills needed to understand and value evidence from them.