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.

Language: English

More information and application in Stockholm University´s course catalogue

Course description and schedule

Link to schedule 2019

Causal inference in sociology 2019 (456 Kb) (pdf)


Professor Magnus Bygren

At this course, we are using the new learning platform Athena (instead of the old learning platform Mondo). At Athena you’ll have access to all information about the course such as schedule, schedule changes, course material and more.

You log into Athena by using your university account.

If you need help you can find more information in English about Athena here and in Swedish here.