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Difference in Differences for Causal Inference

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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.

Syllabus

  • 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

Taught by

Kenny Lin

Reviews

4.3 rating at Codecademy based on 21 ratings

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