Introducing another one of our amazing #SHESG2025 presenters, Wei Fu! Learn more at https://t.co/zrriFCCxnl

I haven't had a chance to read yet, but looks like @StefanWager wrote the causal inference book I've always wanted! https://t.co/8rMD4Z9vVF

Forthcoming in the JEL: "Deep Learning for Economists" by Melissa Dell.

In the upcoming @Stata North European conference I will give a talk about visualizing more than two variables. And you guys might get a couple of new packages 😉 Earlier presentations (Parts I-V) here: https://t.co/lS0TfpE19S

If you want to learn Causal Inference from one of the best and most productive researchers on the area, I have some good news for you!! @pengding00 lecture notes are here 👇👇👇 https://t.co/TyXkzbhlpp

If you are interested in AI and Governments/Policy, here is the Lecture I gave at the @AEAjournals Continuing Education program. https://t.co/PUclbxcuhK AI is a data-intensive technology that can be used for automation and surveillance. What role for governments in each case?

Thrilled to announce that our paper has been conditionally accepted for publication in the Economic Journal (@EJ_RES). Looking forward to sharing the revised version, which presents new exciting findings on the types of care accessed post-vaccination, using HCUP data.

Time to celebrate! “DID estimators of intertemporal effects” accepted at @restatjournal, and very very fast did_multiplegt_dyn Stata & R commands available from SSC & CRAN, thanks to Mélitine Malézieux @fe_knau @diegociccia1 & @DSDoulo! Celebratory thread! https://t.co/i0lwPE6mtV

Thanks for doing this, Jon. I've been thinking about this quite a bit, and teaching my perspective. I should spend less time teaching, more time revising a certain paper. Here's my take, which I think overlaps a lot with yours.

Submit to NBER Children’s here! https://t.co/oePLNakqnk

Happy new year! Excited to announce that our textbook with Xavier, "Difference-in-Differences for Simple and Complex Natural Experiments", is under contract with Princeton University Press. Check out the "working textbook" version here! Comments welcome!

First claimed successful replication of LK-99 Accomplished by a team at the Huazhong University of Science and Technology and posted 30 minutes ago. Why this is evidence: The LK-99 flake slightly levitates for both orientations of the magnetic field, meaning it is not simply a

This reading list of recent advances in econometrics looks like a treasure trove! https://t.co/CYsJaf1ArZ

Hi #EconTwitter! Interested in the #econometrics of 𝐜𝐚𝐮𝐬𝐚𝐥 𝐢𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞? 📈 Here's a thread with some great lecture notes, slides, and books on this topic - freely available on the web - which I've happily tweeted about! 📚🌐 Hope you'll find it useful!

Grateful for my old time at @PNGC_UPENN being part of me; excited about my new journey at @ulsphis

Hi #EconTwitter! Looking for a graduate #Econometrics course, covering lots of stuff, including model/moment selection in high dimensions? Check out these very enjoyable slides and notes by Francis DiTraglia @economictricks (@OxfordEconDept). Very cool material!

Glad to see our paper with Muzhe Yang and Dhaval Dave on JAMA Network Open today. We found that reproductive-age women living in states banning abortion after the US Supreme Court's 2022 decision reported a 10% increase in mental distress.

Mental Distress Among Female Individuals of Reproductive Age After Overturning of Roe v Wade

New paper argues GPT is a General Purpose Technology. One of those rare inventions that touch most work. The median job has 15% of their work exposed to LLMs. 19% of all US workers have half their work affected. In fact, the only jobs not exposed are👇 https://t.co/7R21lyZwjC

📢 New NBER WP: “From Syringes to Dishes: Improving Food Security through Vaccination” (w/ @girayaslim, @WeiFu1991, & Shijun You). https://t.co/nacfg32AjE (1/6)