asheshrambachan.bsky.social
Ashesh Rambachan
@asheshrambachan.bsky.social
140 followers 59 following 5 posts
Assistant Professor at MIT. Economics + AI. Visiting Stanford 2025-2026 academic year. https://economics.mit.edu/people/faculty/ashesh-rambachan
economics.mit.edu
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asheshrambachan.bsky.social
Ashesh Rambachan @asheshrambachan.bsky.social · Aug 15
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!
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Reposted by Ashesh Rambachan
vivianodavide.bsky.social
Davide Viviano @vivianodavide.bsky.social · Jul 19
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!
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Reposted by Ashesh Rambachan
keyonv.bsky.social
Keyon Vafa @keyonv.bsky.social · Jul 14
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 🧵
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Reposted by Ashesh Rambachan
qjeharvard.bsky.social
The Quarterly Journal of Economics @qjeharvard.bsky.social · Jul 14
#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
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Reposted by Ashesh Rambachan
jaap.abbring.org
Jaap Abbring @jaap.abbring.org · Jul 1
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
resmedia.bsky.social
Royal Economic Society @resmedia.bsky.social · Jun 24
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
RES 2025 Annual Conference
Conference overview The RES Annual Conference is the Royal Economic Society’s flagship event. Each year, our conference brings together hundreds of economi...
bit.ly
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asheshrambachan.bsky.social
Ashesh Rambachan @asheshrambachan.bsky.social · May 2
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.
www.chicagobooth.edu
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asheshrambachan.bsky.social
Ashesh Rambachan @asheshrambachan.bsky.social · Apr 22
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.
www.chicagobooth.edu
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Reposted by Ashesh Rambachan
jannspiess.bsky.social
Jann Spiess @jannspiess.bsky.social · Apr 8
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="...
www.chicagobooth.edu
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Reposted by Ashesh Rambachan
qjeharvard.bsky.social
The Quarterly Journal of Economics @qjeharvard.bsky.social · Apr 4
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
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asheshrambachan.bsky.social
Ashesh Rambachan @asheshrambachan.bsky.social · Feb 13
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
www.nber.org
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asheshrambachan.bsky.social
Ashesh Rambachan @asheshrambachan.bsky.social · Jan 26
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="...
www.chicagobooth.edu
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