printer friendly pageSTATS 209A: Topics in Causal Inference (MS&E 327)
This course introduces the fundamental ideas and methods in causal inference, and surveys a broad range of problems and applications. Emphasis will be on framing causal problems and identifying causal effects in both randomized experiments and observational studies. Topics will include: the potential outcomes framework; randomization-based inference and covariate adjustment; matching, and IPW; instrumental variables, regression discontinuity and synthetic ncontrols. Examples and applications will be taken from the fields of education, political science, economics, public health and digital marketing.
Terms: Aut
| Units: 3
Instructors:
Basse, G. (PI)
;
Han, K. (TA)
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