Difference in Differences for Causal Inference
Estimate effects by analyzing trends over time
Time to completeApprox. 2 hours
Certificate of completionIncluded with paid plans
About this course
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.
Difference in Differences
Learn how to implement the Difference in Differences technique to estimate causal effects.
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Frequently asked questions about Difference in Differences for Causal Inference
Correlation isn’t causation, and it’s not enough to say that two things are related. We have to show proof, and the difference-in-differences technique is a causal inference method we can use to prove (as much as possible) that one thing causes another.