Difference in Differences for Causal Inference

Estimate effects by analyzing trends over time
Sometimes you want to know what would have happened anyhow. For example, if a law didn't go into effect, or a virus hadn't swept through a country. We might be able to see some effect, but might not know exactly what to attribute it to. Difference in differences is a technique to estimate those effects by analyzing trends over time.



### Take-Away Skills
In this course, you will learn how, when, and why to implement the Difference in Differences technique, and what kinds of problems it solves. You will be able to estimate the treatment effects by analyzing trends over time, and mimic experiments by leveraging the data that you have.

• Difference in Differences: Learn how to implement the Difference in Differences technique to estimate causal effects.
• Lesson: Difference in Differences for Causal Inference
• Quiz: Difference in Differences
• Project: Enhanced Recovery After Surgery
• Article: Next Steps