Huan Deng

Time will tell.

This type of behavior is unacceptable. Her apology was superficial and the opposite of sincere. Salute to Jingjing Li. You are the true hero!

Partha Deb, Jeff Wooldridge @jmwooldridge , Jeff Zabel, and I are pleased that our new difference-in-differences paper is available as an NBER working paper.

What kind of childhood makes a top scientist? Is it enough to have all the right traits (brilliance, grit, etc) or do you need the right family too? And why should we care? A 🧵 on our paper on the Nobel Laureates. A teaser: the income distribution of the laureates' fathers.1/N

As reported, China will gradually raise it social security eligibility age, from 60 to 63 for men, from 55 to 58 for white collar females and from 50 to 55 for blue collar females. It will be phased-in in 15 yrs from Jan 2025. 1/n bbc.com/news/articles/…

Sharing a new working paper with Anqi Zhao & Peng Ding @pengding00, titled "Factorial Difference-in-Differences." arxiv.org/pdf/2407.11937… 🧵 Comments and suggestions are welcome!

I've posted a review article on deep learning for economists arxiv.org/pdf/2407.15339. The DL literature is vast, and I initially found it pretty daunting to find the parts of it that are most relevant to economic applications. I hope people will find this useful! #econtwitter

@June_Qi Patpat...it is really hard to find one now. I tried more than five but none of them worked. Astrill is basically the only success.

@HDecon_jhu Wish I could see this earlier. Guess who could not find a stable vpn, bought a ticket back to US and now is landing at Atlanta.🙃

What is the real best VPN for mainland China? Every VPN is claiming to be the "best for China" but I still have to use Google Fi...

@ZiWang10 Astrill works!

@HDecon_jhu astrill+1

@XuanWan76336628 Thank you! Will try!

@HDecon_jhu astrill

**interflex** -- R package for estimating & visualizing conditional marginal effects -- now supports #dml estimators (plug & play with NN, RF & HGB). It accepts discrete/cont treatments & discrete/cont outcomes. yiqingxu.org/packages/inter… More features coming soon.

@jmwooldridge The third one is a long-term task, if not a mission impossible🤣

@HDecon_jhu Two out of three ain’t bad. 😬

Going back to some old habits: a healthy diet, sending postcards to friends, and following the latest research on causal inference😃

Excited to share a review article written with @guido_imbens: “LaLonde (1986) after Nearly Four Decades: Lessons Learned” in which we summarized 5 main advancements in recent years. arxiv.org/abs/2406.00827 1/8

@Sudong_Hua Yes indeed!

@HDecon_jhu Lyft dudes can surprise you at all times!

When my Lyft driver knew that I had just finished my Ph.D. He congratulated me like a friend. He said, "Now you can use your knowledge to make the world a better place. " This is exactly what I wished when I was an undergraduate student.

One hard thing about seeing the Callaway and Sant’Anna DiD estimator becoming so popular is to see people using it in a context that is not warranted. Please read the paper and understand its building blocks! But I guess these are rich people's problems!

Just finished my first semester teaching PhD level causal inference at @uncpolisci. It was a lot of fun! (Not sure whether the students feel the same way) All my slides can be found online: yewang-polisci.com/teaching. Hope they are useful for the community!

@Yufeng712 Haha, maybe🤣

A stranger keeps sending me the same message "Are you Okay?"...I guess I am.