If you work at the intersection of CS and economics (or think your work is of interest to those who do!) consider submitting to the ESIF Economics and AI+ML meeting this summer at Cornell: www.econometricsociety.org/regional-act...

Interested in using economics and AI + ML to better understand the world? Want to collaborate across economics and computer science? Come work with me at MIT! Pre-doc position in econometrics and AI/ML starting Summer 2026. careers.peopleclick.com/careerscp/cl...

Predoctoral Researcher

MIT - Predoctoral Researcher - Cambridge MA 02139

careers.peopleclick.com

I just moved to the Bay Area and am excited to visit Stanford for the 2025-2026 academic year. If you're around and want to talk AI/economics or grab a Philz coffee, please reach out!

Looking forward to the NBER SI Thursday metrics session next week where we will be presenting work on remote sensed outcomes with Rahul Singh and Ashesh Rambachan. Here is the program www.nber.org/conferences/... and preview dviviano.github.io/projects/pre... Drop by if you are around!

Can an AI model predict perfectly and still have a terrible world model? What would that even mean? Our new ICML paper (poster tomorrow!) formalizes these questions. One result tells the story: A transformer trained on 10M solar systems nails planetary orbits. But it botches gravitational laws 🧵

#QJE Aug 2025, #3, “Structural Estimation Under Misspecification: Theory and Implications for Practice,” by Andrews, Barahona (@nanobarahona.bsky.social), Gentzkow, Rambachan (@asheshrambachan.bsky.social), and Shapiro: doi.org/10.1093/qje/...

Structural Estimation Under Misspecification: Theory and Implications for Practice*

ABSTRACT. A researcher can use a tightly parameterized structural model to obtain internally consistent estimates of a wide range of economically interesti

doi.org

Enjoying a great day with #EctJ events at #RES2025. Stéphane Bonhomme gave the Sargan Lecture on dynamic feedback & unobserved heterogeneity in panel data. In EctJ’s Special Session, @asheshrambachan.bsky.social & Tim Christensen discussed challenges arising from using AI/LLMs in economic research

Royal Economic Society@resmedia.bsky.social · last yr.

What’s on at #RES2025? Top lectures & sessions incl.: 🔹 Bonhomme – Panel Data 🔹 Iriberri – Women in Econ Journals 🔹 Greenstone – Climate & Transfers 🔹 Mary Morgan – Econ Narratives (and more) 🎟️ Virtual tix available! 👉 bit.ly/4huZnsS #EconSky

The deadline to submit your work to the Machine Learning in Economics Summer Conference (MLESC) is in one week! Send us your work! www.chicagobooth.edu/research/cen...

Machine Learning in Economics Summer Conference

The MLESC conference brings together researchers working at the intersection of machine learning and economics.

chicagobooth.edu

Reminder to submit your papers to the Machine Learning in Economics Summer Conference (MLESC) at Chicago Booth. The deadline is May 9th. We would love to read your work! www.chicagobooth.edu/research/cen...

Machine Learning in Economics Summer Conference

The MLESC conference brings together researchers working at the intersection of machine learning and economics.

chicagobooth.edu

Last chance to apply to this year's Machine Learning in Economics Summer Institute, our AI/ML summer school for graduate students, co-organized with @sendhil.bsky.social @asheshrambachan.bsky.social @aleximas.bsky.social @lindseyraymond.bsky.social: www.chicagobooth.edu/research/cen... #econsky

Machine Learning in Economics Summer Institute 2025 (MLESI25)

<span id="docs-internal-guid-53f97f20-7fff-b55c-c89c-4f85d663a48c" style="color: #39393a;"><span style="color: #000000;">MLESI<span id="docs-internal-guid-394e21c4-7fff-1437-16ff-fdbb1ce1d34c" style="...

chicagobooth.edu

Recently accepted by #QJE, “Structural Estimation Under Misspecification: Theory and Implications for Practice,” by Andrews, Barahona (@nanobarahona.bsky.social), Gentzkow, Rambachan (@asheshrambachan.bsky.social), and Shapiro: doi.org/10.1093/qje/...

Structural Estimation Under Misspecification: Theory and Implications for Practice*

Abstract. A researcher can use a tightly parameterized structural model to obtain internally consistent estimates of a wide range of economically interesti

doi.org

Excited to spend the day at the NBER Digital Economics and AI Meeting! I'll be presenting this paper on LLMs and empirical research: www.nber.org/papers/w33344 Full lineup of the conference: www.nber.org/conferences/...

Digital Economics and AI Meeting, Spring 2025

nber.org

Applications are open for the Machine Learning in Economics Summer Institute (MLESI) 2025 are open! If you're a graduate student, come learn about ML/AI and its uses throughout economics. Apply by March 28. The application and more info can be found here: www.chicagobooth.edu/research/cen...

Machine Learning in Economics Summer Institute 2025 (MLESI25)

<span id="docs-internal-guid-53f97f20-7fff-b55c-c89c-4f85d663a48c" style="color: #39393a;"><span style="color: #000000;">MLESI<span id="docs-internal-guid-394e21c4-7fff-1437-16ff-fdbb1ce1d34c" style="...

chicagobooth.edu