Difference in Differences (The Effect, Videos on Causality, Ep 51)

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The Effect is a book about research design and causal inference. How can we use data to learn about the world? How can we answer questions about whether X causes Y even if we can't run a randomized experiment? The book covers these things and plenty more. These videos are meant to accompany the book, although they can also be viewed on their own.

This video relates to material found in Chapter 18 of the book.

It's the most commonly-used research design in observational causal inference! Difference-in-differences is a pretty simple idea that can be applied any time you have a treatment that went into effect at a particular time, but it only applied to some groups and not others. How does it work? This video explains.
  1. Econometrics, Causality, and Coding with Dr. HK
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Hi Nick! I really enjoy your book as well as videos! One thing, I haven't found information on however is whether "true" panel data is required for DiD or if pooled cross-sections (for example repeated survey data) will do as well. I'd be great to receive a response. Cheers from Germany, thanks for making all these resources available!

kasberge