Teaching

Causal Inference for Social Science (Stanford University)

Semester: 

Spring

Offered: 

2017

Causal inference methods have revolutionized the way we use data, statistics, and research design to move from correlation to causation and rigorously learn about the impact of some potential cause (e.g., a new policy or intervention) on some outcome (e.g., election results, levels of violence, poverty). This course provides an introduction to the toolkit of modern causal inference methods as they are now widely used across academic felds, government, industry and non-profits.