Alex Imas

Social Dynamics of AI Adoption Founded in 1920, the NBER is a private, non-profit, non-partisan organization dedicated to conducting economic research and to disseminating research findings among academics, public policy makers, an...

I think spot on and applies elsewhere; in volume-driven/time-constrained areas the competitive advantage of AI can make it an strategic necessity even if the new equilibrium is worse for everybody.1/

by Leonardo Bursztyn, @aleximas.bsky.social @rafaeljjd.bsky.social Aaron Leonard & Christopher Roth

YouTube video by Behavior Change For Good Initiative The Anomalies That Changed Economics | Richard Thaler and Alex Imas

I'm excited to share access to a video of the conversation @angeladuckworth.bsky.social & I hosted at Wharton w/ our brilliant friends @rthaler.bsky.social & @aleximas.bsky.social about their new book THE WINNER'S CURSE & how behavioral econ has evolved in the last 30 years. youtu.be/hH8UgQb-x4A?...

it was so much fun to host @rthaler.bsky.social and @aleximas.bsky.social @upenn.edu for a conversation about The Winner’s Curse and the evolution of behavioral economics.

missed it? check out the recording on the @bcfginitiative.bsky.social youtube channel!

youtu.be/hH8UgQb-x4A

Behavioral Economics, Then and Now: A Conversation With @aleximas.bsky.social — behavioralscientist.org/behavioral-e...

Behavioral Economics, Then and Now: A Conversation With Alex Imas - by Heather Graci - Behavioral Scientist Alex Imas and Richard Thaler teamed up to update a landmark book in behavioral economics. In doing so, they chart where behavioral economics began, where it is now, and where it could go next.

.@rthaler.bsky.social and @aleximas.bsky.social teamed up to update The Winner's Curse, a landmark book in behavioral economics. In doing so, they chart where behavioral economics began, where it is now, and where it could go next.
behavioralscientist.org/behavioral-e...

Happy pub day to THE WINNER'S CURSE by @rthaler.bsky.social + @aleximas.bsky.social!
The original (1992) version of this book changed my life -- it's the reason I study judgment and decision making. For a preview of the new edition, check out my Q&A w/ the authors t.co/n3ThOxpJak

YouTube video by Markus' Academy Alex Imas and Richard Thaler on Behavioral Economics Anomalies: Then and Now

Next was a great discussion with @aleximas.bsky.social and Richard Thaler on changing perspectives around behavioral economics anomalies at the Julis-Rabinowitz Center for Public Policy & Finance www.youtube.com/watch?v=7v8O... (6/7)

Workshops - Society For Neuroeconomics

ONE WEEK! The Society for Neuroecon conference is in Cambridge, MA in 1 week!

We are thrilled to have @amberalhadeff.bsky.social and @aleximas.bsky.social as the speakers for our neuroscience and social/decision science workshops

neuroeconomics.org/workshops/

‼️Event Alert‼️ Join @angeladuckworth.bsky.social & @katymilkman.bsky.social for a conversation with Nobel Prize winning economist @rthaler.bsky.social and Professor @aleximas.bsky.social about their new book, The Winner’s Curse.

📅 Thurs, Oct 23 | 4-5PM
📍 Huntsman Hall G06
📩RSVP: bit.ly/4nbI9EG

Probably longer than you need, but Richard Thaler and I have a book coming out trying to do just that. The chapters on Risk and Utility are especially pertinent: a.co/d/4HpJfEt

Why Students Lie About Using AI Chicago Booth’s Alex Imas talks about perceptions of AI use in the classroom.

Why do students lie about using AI?

Chicago Booth's @aleximas.bsky.social talks about perceptions of AI use in the classroom.

www.chicagobooth.edu/review/podca... #econsky

Systemic Discrimination: Theory and Measurement* Abstract. Economists often measure discrimination as disparities arising from the direct effects of group identity. We develop new tools to model and measu

#QJE Aug 2025, #2, “Systemic Discrimination: Theory and Measurement,” by Bohren, Hull (@instrumenthull.bsky.social), and Imas (@aleximas.bsky.social): doi.org/10.1093/qje/...

Twenty-six UChicago faculty members receive named, distinguished service professorships in July 2025

Congrats to all faculty who have been recognized for their stellar contributions!

We're especially thrilled to celebrate the eleven Chicago Booth faculty on this list, among them CAAI Faculty Affiliate @aleximas.bsky.social!

news.uchicago.edu/story/twenty...?

Systemic Discrimination: Theory and Measurement* Abstract. Economists often measure discrimination as disparities arising from the direct effects of group identity. We develop new tools to model and measu

Paper by @aislinnbohren.bsky.social @instrumenthull.bsky.social and @aleximas.bsky.social on Systemic Discrimination now published in QJE
academic.oup.com/qje/article/...

How AI Can Make Smarter Predictions Researchers gave AI a way to evaluate and calibrate its own uncertainty.

AI can be overconfident.

So a team of researchers came up with a solution: Give AI a way to evaluate and calibrate its own uncertainty, allowing a user to decide how much to trust a prediction. www.chicagobooth.edu/review/how-a...

The gutting of US biomedical research with loss of ~2,500 grants affecting research for cancer, Alzheimer’s, infectious disease, global health and much more
www.nytimes.com/interactive/...

In Its Expectations for the Economy, AI Is Surprisingly Human AI, designed to mimic the appearance of human reasoning, also forms predictions about the economy in human-like ways.

"You need some way of actually measuring people’s beliefs or their preferences if you wanna test these behavioral stories around bubbles," says Chicago Booth’s Leland Bybee. www.chicagobooth.edu/review/in-it... #econsky #ai

Our work now published showing how better AI can improve both accuracy and diversity in hiring relative to supervised learning tools and status-quo human hiring.

The interesting thing about people dragging the folks in that NYT piece who said that they didn’t vote for moms to get deported is that the article is about how these women are organizing for a member of their community, aggressively and openly, and actually, that’s good.

MIT Says It No Longer Stands Behind Student’s AI Research Paper The university said it has no confidence in a widely circulated paper by an economics graduate student.

Update on the paper: www.wsj.com/tech/ai/mit-...

Introspection has gotten a bad rap over the years. Here we show that people have more insight into the algorithms behind their decisions than we tend to assume. Thrilled to see this work out at Nature Comms with the always brilliant @thatadammorris.bsky.social!

Sorry, fixed!

bsky.app/profile/alex...

LINK: papers.ssrn.com/sol3/papers....

Yeah that’d be nice but it’s hard for me to think about an environment like that. I think in coding it’s likely smaller but not opposite direction.

This is cool for, like, other people who have actually used AI... not me, nope.

These results suggest that social desirability may bias estimates of AI use downwards, depending on the setting.

But that tools such as the indirect questioning technique can help.

Follow up surveys using both free response and direct questions revealed social desirability bias as the main reason given for the own-other gap. Specifically, the gap was attributed to a reluctance to report one's own AI use rather than an inflation of others' use.

On extent of use, majority of students reported using AI 0-1 days a week, while the majority of their friends used AI 4-5 days a week.

Results were striking, while ~60% of people reported using AI at all themselves, they reported that ~90% of their friends used AI.

The most common response for own use was "not at all", while the most common response for others' use was "a moderate amount" followed by "a lot".

We employed standard indirect questioning technique from psych to overcome social desirability bias:

Instead of asking about one's own AI use, ask about AI use of friends in one's social circle...