I had spent so much time on reading the GB paper and yet could not understand it. Now after watching this video for one hour, I understood what this paper was all about. Thank you sooooo much!😀😀😀
This is a really impressive talk! Focuses absolutely on the essential arguments and insights. And - depressingly rare for an economist - Andrew has really crafted this presentation. Thanks so much Taylor for this video series.
You're saving my life right now. I've been stuck with my masters thesis and I couldn't find any good explanations in pervious literature on how this actually works in practically. Thank you so much for explaining this in a way that is comprehensible to mere mortals. Thanks, Taylor and thanks Andrew for coming up clutch.
31:50 Why are states that switched before the data started having a high weight, and not a low weight? Also, it is bad to use already treated states as controls, right? So it would be a bad idea to include these states.
Can anyone confirm that the "Partial out fixed effects" step at 12:17 only works when you've observed data for every unit at every time point (i.e., fully balanced)?
I had spent so much time on reading the GB paper and yet could not understand it. Now after watching this video for one hour, I understood what this paper was all about. Thank you sooooo much!😀😀😀
This is a really impressive talk! Focuses absolutely on the essential arguments and insights. And - depressingly rare for an economist - Andrew has really crafted this presentation. Thanks so much Taylor for this video series.
You're saving my life right now. I've been stuck with my masters thesis and I couldn't find any good explanations in pervious literature on how this actually works in practically. Thank you so much for explaining this in a way that is comprehensible to mere mortals. Thanks, Taylor and thanks Andrew for coming up clutch.
Thank you very very very very much. Can't explain with words how useful this has been to me.
Excellent presentation, so easy to follow
Love the start of the video with Dr. Goodman-Bacon's start-up of this paper. :D Thanks Taylor :)
I really loved this material!! thanks for sharing!
Thank you very much for sharing this. Andrew was a GREAT presenter, but also the questions at the end were really good, too. I've learend alot!
great intuitive explanation. Thank you.
Thanks a ton for sharing this video series on developments in diff-in-diff. Treasure trove!!!
Thank you for posting this. I wasn't able to attend for some reason, glad that I could catch up.
I love it! Currently writing a Master Seminarpaper about your discussion ;)
Thanks for the clear explanation.
This was so well explained! Thank you for sharing.
Andrew you are great! Thank you!!!!!
Thanks, that was very informative and useful
Notation and discussion at 4:33 is not ideal. It´s confusing the parameter beta with it´s estimator (maybe estimate) "beta hat".
Thank you very much!
31:50 Why are states that switched before the data started having a high weight, and not a low weight? Also, it is bad to use already treated states as controls, right? So it would be a bad idea to include these states.
Hi professor how can I get data set to check for stata ?
Can anyone confirm that the "Partial out fixed effects" step at 12:17 only works when you've observed data for every unit at every time point (i.e., fully balanced)?
I encountered this problem as well. The code "bacondecomp" in stata seems to only work for a strongly balanced dataset.
I encountered this problem as well. The code "bacondecomp" in stata seems to only work for a strongly balanced dataset.
where are the R code videos?
why do you monetize these videos where it is other people talking?
The videos are not monetized.
@@taylorwright3880 Hmm, but there are ads. Maybe it is Google.