Graphical Analysis of the Common Trend Assumption and Diff-in-Diffs: Causal Inference Bootcamp

[@saket114]

Can't believe these videos don't have more likes and comments. Dr. Masten and team have done a great job. I find myself coming back to these videos many times. Thank you for your hard work and for making Causal Inference more accessible to everybody!

[@DukeEHDi]

Thank Saket! We appreciate it.

[@rafaelerwin]

Agree, 100% agree! Dr. Masten's videos are the best resource I've found so far to learn about causal analysis. Also better than all my professors whose classes I attend here in my master's program.

[@ShochrulRohma]

thanks for the video, how if we only have one pre-treatment period and one post-treatment period?

[@Ros7iePosie]

Is common trends the same as parallel trends?

[@MrBasti1008]

Amazing thank you!

[@saikoujeromejuwara145]

Thank you very much for your videos! I have watched all of the bootcamp and it really helped me with my papers. Any chance you'd continue this series, like on synthetic control methods? Greetings from Berlin

[@DukeEHDi]

Thanks Mad Manatee! Even though there's so much left to talk about, we don't have any new videos to add to this series. We're hopeful to continue it, but for now you'll need to look at other places. Thank you so much for being such a big fan!

[@asoliman9]

Thanks

[@googledude5649]

Amazing teachingskillls

[@EternalRecurrence82]

Noice!

[@pututp]

Hi professor. It seems that your graph is too good to be true. What do you suggest to test the assumption given a panel data set? What should be tested? Is it the slope to be tested?