Really nice talk by Rafe Meager (they/them) in the Chamberlain seminar today. Thought provoking. I didn't get it all so I'll have to watch it again. chamberlainseminar.org/past-seminars/…

I am very excited to take on the role as CEO of IZA and work with the fantastic colleagues and network! Stay tuned for exciting updates! 🎉🪅

PhD students: apply to @AICenter_Booth's Machine Learning + Economics Summer Institute! - Deadline—May 25 - Open to 2nd year+ Ph.D. students and Jr faculty It was super fun to be part of it last year over zoom—in person this year (🤞) will be even better! tinyurl.com/fa8uhxvr

Thanks so much to ETH Center for Law & Economics and the incredible @Stremitzer_lab and @elliottt! A few words about the paper... 🧵 1/5

New research in ASA by Alberto Abadie and Jann Spiess develops valid standard error estimates for regression after matching. New #Frontiers in Social & Behavioral Science 🧵⬇️ ssrc.org/frontiers

When should you pre-register your stat analyses & why? As a rational decision-maker, consistent over time, why use a commitment device? New paper with Jann Spiess: Rationalizing Pre-Analysis Plans: Statistical Decisions Subject to Implementability maxkasy.github.io/home/files/pap…

Excited for the Inaugural Bravo Center Workshop on the Economics of Algorithms today Brown Economics PSTC at Brown University!

Vorbildliche Wissenschaftskommunikation von Simon Jäger in der FAZ: 1. Verweis auf empirische Forschung, die Jäger kennt, uA weil er selbst forscht. 2. Normative Fragen nach dem was sein soll, werden zurückgewiesen und als politische Entscheidungen eingeordnet. #SciComm

📢(1/2) We are relaunching the Machine Learning in Economics Summer Institute this summer! - Open to 2nd year+ Ph.D. students and Jr faculty - Leading faculty in ML, Econ, and Policy - New methods, new tools, and big questions! Apply by March 17 here: tinyurl.com/yta3mzmm

The application deadline for MLESI is in one week (Mar 17)! Apply now! We have an exciting lineup of participating faculty including (on twitter) Susan Athey, @peterbergman_, Peter Hull, Sanjog Misra, Emma Pierson, Manish Raghavan, Chenhao Tan and many others!

Are you doing a ecoomics-related PhD? Interested in AI/ML? Then apply to our Summer Institute in Machine Learning! Learn from awesome faculty Meet other like-minded students Get exposed to cool, new ideas bit.ly/3ZRvTxr (march 24 deadline)

Hi #EconTwitter! Don't miss the next Chamberlain seminar (April 21st), with 𝐂𝐡𝐫𝐢𝐬 𝐒𝐢𝐦𝐬' (@princeton) talking about "𝐬𝐡𝐚𝐫𝐩 #Econometrics vs "𝐡𝐚𝐫𝐦𝐥𝐞𝐬𝐬 #econometrics"! Panelists: Peter Hull, Frank Schorfheide, Chris Taber. Expect a lot of fun!

NBER AI Conference call for papers. September 22 in Toronto. Deadline July 24. Send us your best work! nber.org/calls-papers-a… NBER. Organized with Catherine Tucker Ajay Agrawal Joshua Gans

Last chance to apply: I am wrapping up recruiting a Stanford Institute for Economic Policy Research pre-doc to work with me at Stanford on econometrics, causal inference, machine learning. Start later this summer, for one to two years. If you are interested, please apply by June 22. Details: siepr.stanford.edu/programs/predo…

Those of us building health AI products have a problem: Our algorithms look great—in our own data But how will they perform elsewhere? On other machines? On diverse patients? We’ve built a way to find out, at Dandelion Health: A free, public service for algorithm audits

Riesige Glückwünsche an Claudia Goldin (Claudia Goldin) zum diesjährigen Nobelpreis für Wirtschaftswissenschaften! Worum geht es bei ihrer Forschung? Ein paar Eindrücke aus ihrer Forschung zum Arbeitsmarkt (auf deutsch). 🧵👇

The #SEA2023 in NOLA is just around the corner! And we ( Yuya Sasaki, Tymon Słoczyński, and I) have put together several sections on "practical econometrics" that I hope you will enjoy! Let me describe the sessions a little bit so you get the flavor.

With the Spring semester starting at Massachusetts Institute of Technology (MIT), I'm excited to be teaching two new courses on machine learning and economics with 𝐒𝐞𝐧𝐝𝐡𝐢𝐥 𝐌𝐮𝐥𝐥𝐚𝐢𝐧𝐚𝐭𝐡𝐚𝐧 (one for PhD students and one for undergraduates). We'll be posting lecture slides here for anyone to follow along: economics.mit.edu/people/faculty…

For all of our machine learning and economics researchers—don't forget to submit your papers for the first Machine Learning in Economics Summer Conference (MLESC) by this Friday, 03/29. We would love to read your work! buff.ly/3IVaY5T

Great news! If you haven't had the chance to submit your application for MLESI24, the deadline has been extended to April 12th. Make sure to get your applications in! ➡️ buff.ly/49hRlAd