Lol
My LinkedIn feed is like this right now

Very cool!!

But I am surprised people wrote triple difference-in-difference and not just triple differences!!

I am excited about this!!!

Congrats!!!! Your presentations was awesome!!

Can you send me slides, too???

We did not record anything…. 🥹

Maybe next time

We are very thankful to our sponsors at Stata, Google, as well as the support of Emory Goizueta Business School and
@emoryeconomics.bsky.social

We are really looking forward to seeing you there!!

📍 The event will take place in person at Emory University, but we’ll also livestream it

Make sure to sign up for the live stream link:
🔗 emory.zoom.us/webinar/regi...

Our program is here:
🔗 econometricsatemory.com

🤩 Think of a workshop that will discuss
- Difference-in-Differences
- Synthetic Controls
- Event-Studies,
- Factor Models
- Nonparametric Panel Data
- Covariate Balancing,
- Experiments,
- Demand Estimation
- Overlap Concerns,
- Partial Identification,
- Continuous Treatments
- and more!
🤩

Space is limited, so please register to attend.

We will review all applications and confirm: econometricsatemory.com/registration/

We look forward to seeing you at Emory!

You can find the program here: econometricsatemory.com/program/

All of this would not be possible without our amazing sponsors:

-Stata
-Google
- @emoryeconomics.bsky.social
- @emorygoizueta.bsky.social

We’re thrilled to have Guido Imbens as our Keynote Speaker at Econometrics at Emory.

We also work hard to get an incredible lineup of speakers from academia & industry covering the latest in causal panel data

Plus: A special Q&A on Econometrics in the Private Sector 💼

My suggestion is to write everything from first principles: establish nonparametric identification given your assumptions. That will lead to guidance on what is valid or not.

Sorry for not being of kore help

No, I dont.

It depends on PT, the exact parameter of interest, and also on whethere there is treatment effect dynamics/carryover.

I dont even know how to justify a “no-anticipation” here.

A lot of papers already discuss this in great detail.

It is all about the identification assumptions and the parameters if interest of the analysis.

Hard for me to do deep dives here these days

This was a fun workshop!!!

I like Claude! 😄

You are a wizard!!