On my way to #ASSA2024 to present this paper tomorrow in the DiD session with Pedro H. C. Sant'Anna, Ting Ye, and Frank Vella. If your fixed effects are not always two-way or/and the selection process is not always strictly exogenous, you should check it out:)

Thrilled to start my visit at Harvard Department of Economics for the Spring semester! Looking forward to meeting new people and connecting with old friends. Let me know if you are in the area and want to chat.

🚨 Next week, January 31st is the deadline to be eligible for funding for the Master in Economics and Finance and the PhD in Economics at CEMFI. If you're interested, you can apply here 👉 cemfi.es/forms-cemfi/ma…

Come join us in Berkeley for a truly exceptional summer program on inequality: Top-notch instructors, 25 PhD students from all over the world, and completely FREE! Ten more days to apply 👇👇👇 sites.google.com/berkeley.edu/s…

I'm hiring a #predoc to work with me at Harvard finance/macro/behavioral, and/or on Machine Learning (also with my great coauthors Ralph S.J. Koijen Motohiro Yogo Rob Richmond), starting in the summer 2024! Apply here: rb.gy/s2zwo3 Econ RA Listings PREDOC.org

Would you like to join the premier undergraduate summer internship in economics? It is time to apply! This is a unique opportunity to learn about research in economics spending one month at CEMFI.

Thanks for the spotlight Giuseppe Cavaliere! The new draft has missing connections between modern TWFE and 30-years old panel data literature, expanded discussion of synth-related methods, including selection issues, and recomendations for empirical practice. Check it out!

I have had a pre-doc opportunity open up: academicpositions.harvard.edu/postings/13296. For those who may have applied to a past position prior to March 1 and are interested, please resubmit your materials. Position combines social science questions with big data and deep learning.

Exciting news! CAUSALab has partnered with CEMFI Summer School for a NEW course taught by Miguel Hernán “Causal Inference for Health and Social Scientists” covers a 2-step #causal framework. Applications due June 14, 2024 📅8/26-8/30 📍Madrid Learn more: cemfi.es/programs/css/c…

Thanks Kurt MIT-shock-man! I am deeply humbled and honored by this promotion. I want to thank my colleagues at CEMFI, who have provided nonstop guidance and mentorship for the last six years. I cannot imagine a more supportive and friendlier environment than the one in Madrid.

Hi #EconTwitter!📈 Interested in the #econometrics of causal inference? Don't miss this amazing conference in Rome at EIEF - Einaudi Institute for Economics and Finance on September 21-22, 2024. 📊 Great program, including a keynote by guido imbens and talks by Fabrizia Mealli, Clément de Chaisemartin, Dmitry Arkhangelsky,

We have three positions open this year, focusing on mid- or advanced career researchers! Feel free to reach out in case you have any questions about the research environment at CEMFI and life in Madrid (short answer - it's awesome!)

Sciences Po has junior positions in econometrics and in health/environmental this year, please apply, and please RT! econjobmarket.org/positions/10952 ScPoEcon

I am hiring a 2-year post doc UCL Economics under my European Research Council (ERC) STG "CreMac", job posting here: tinyurl.com/5y7xsjjt. Suitable for students with a strong econometrics background, macro interest a plus. Please consider applying or sharing with your network!

For those who prefer el cielo azul:)

Now accepting applications to our master and Ph.D. programs 📢. Prospective students are welcome to join an information meeting about our programs and institution on-line next Friday Nov 29 3pm CET. More info and registration here 👉 bit.ly/3CGlXAb

We are happy to announce that, given the success of our first online meeting, we will be holding a second online meeting about our graduate studies for prospective applicants on Friday, January 10 at 3pm CET. To register for the zoom meeting us02web.zoom.us/webinar/regist…

My favorite explanation of James Stein comes from this beautiful paper by Stigler. Once you adopt the missing data perspective the result becomes almost trivial, even the mysterious dimension requirements (why do we need at least three??) are obvious. jstor.org/stable/2245901