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Methods III: Causal Inference
Last Updated: 2026-02-05 16:07:43
Abstract
This course provides an introduction to statistical methods used for causal inference in the social sciences, covering both experimental and observational studies.
Objective
Familiarity with the key research designs and statistical methods used for causal inference from randomized and observational data, and the ability to apply them to causal research questions in the social sciences.
Content
This course provides an introduction to statistical methods used for causal inference in the social sciences. Using the potential outcomes framework of causality, we discuss designs and methods for data from randomized experiments and observational studies. In particular, designs and methods covered include randomization, matching, instrumental variables, difference-in-difference, synthetic control, and regression discontinuity. Examples are drawn from the social sciences.
Resources
Literature
Cunningham, Scott. "Causal Inference." The Mixtape, 2020. An online version of the textbook is made freely and legally available by the author. Angrist, Joshua D., and Jörn-Steffen Pischke. Mostly harmless econometrics: An empiricist's companion. Princeton university press, 2008. Rosenbaum, Paul R. Design of Observational Studies. Springer. 2010.
General Information
- Language
- English
- Levels
- MSC
- Frequency
- Yearly recurring
Examination
- Type
- graded semester performance
Registration & Places
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| exercise | Methods III: Causal Inference |
|
2 h weekly |
| seminar | Methods III: Causal Inference |
|
2 h weekly |