Causal Inference -- 17/23 -- Difference-in-Differences Basics I

This series of online lectures covers the most important causal research designs in economics and other social sciences. This is the first of five videos on Difference-in-Differences (DiD). The video introduces the idea behind this important technique.
The course is based on two textbooks:
- Mostly Harmless Econometrics by Joshua Angrist and Steve Pischke (2009): press.princeton.edu/books/pap...
- Causal Inference -- the Mixtape by Scott Cunningham (2020): mixtape.scunning.com/
The slides for the course can be downloaded here: 8650ac82-9ca9-4f0f-936f-a74eb...
Course outline:
1 Basics of causal inference (2 videos)
2 Instrumental variables (5 videos)
3 Marginal treatment effects (4 videos)
4 Regression discontinuity and kink designs (4 videos)
5 Difference-in-differences (5 videos)
6 Synthetic control (2 videos)
Get in touch:
- follow me on twitter: / ben_elsner
- website: www.benjaminelsner.com
- profile on linkedin: / benjamin-elsner-b71b98bb

[@c.comploj3775]

This playlist is a gold mine for PhD students. Thanks again, Ben.

[@ben_elsner]

Happy to hear you found it useful. Spread the word!

[@annawilson3824]

21:12

[@jayagupta9239]

@ben elsner the coefficient of interaction term in regression equation is equal to ATT given that our parallel trend assumption is satisfied ?

[@ben_elsner]

Correct

[@jayagupta9239]

@@ben_elsner thank you soo much . Can you also explain about the treatment intensity ( the fraction of teens as discussed in anguist book ). You don't need to make a video on that just explain in comments

[@ben_elsner]

@@jayagupta9239 Not sure what you mean by treatment intensity. In most DiD applications the treatment is binary, such as a policy either switching on or off. There is newer research on DiD with a continuous treatment, but that's a lot harder. For a reference, see here: arxiv.org/abs/2107.02637#:~:text=This%20paper%20analyzes%20difference%2Din,to%20the%20binary%20treatment%20setup.