Difference in Differences for Causal Inference
Why Difference in Differences for Causal Inference?
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.
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.
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Estimate effects by analyzing trends over time
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2 hours to complete in total
Learn how to implement the Difference in Differences technique to estimate causal effects.