Alex Imas
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aleximas.bsky.social
Alex Imas
@aleximas.bsky.social

Economics + Applied AI, Prof at University of Chicago Booth School of Business. Formerly: Carnegie Mellon, UCSD, Northwestern.

Website: www.aleximas.com

Economics 32%
Business 23%
Pinned
🚨Huge update to our paper on modeling & measuring systemic discrimination🚨

New more structural framework that is closely tied to applications + measurement

New measurement section on methodology for identifying direct, systemic & total discrimination

Two new field studies demonstrating tools. 1/2
We've significantly updated our paper on modeling + measuring systemic discrimination! Check it out:

www.dropbox.com/scl/fi/ab5yx...

(cc @aleximas.bsky.social + @aislinnbohren.bsky.social!)

A short 🧵 on what's new...

Reposted by Alex Imas

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

Reposted by Alex Imas

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)
Alex Imas and Richard Thaler on Behavioral Economics Anomalies: Then and Now
YouTube video by Markus' Academy
www.youtube.com

Reposted by Alex Imas

‼️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

Reposted by Alex Imas

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/
Workshops - Society For Neuroeconomics
neuroeconomics.org

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
Amazon.com
a.co

Reposted by Alex Imas

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

Reposted by Alex Imas

Important null results in development economics

Despite the bias against publishing null results, they are important for policy, helping to kill bad ideas.

I've highlighted some key examples we have featured on @voxdev.bsky.social: voxdev.org/topic/import...
Important null results in development economics
Despite the bias against publishing null results, they are important for policy, helping to kill bad ideas.
voxdev.org

Reposted by Alex Imas

#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/...
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
doi.org

Reposted by Alex Imas

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...?
Twenty-six UChicago faculty members receive named, distinguished service professorships in July 2025
news.uchicago.edu

Reposted by Alex Imas

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

Reposted by Alex Imas

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/...
Li, @lindseyraymond.bsky.social & @peterbergman.bsky.social show that incorporating exploration into an interview screening algorithm improves demographic diversity & hiring efficiency, while traditional supervised learning-only tools improve hiring rates at the expense of minority applicants.

👇

Reposted by Alex Imas

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.

Reposted by Alex Imas

"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
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.
www.chicagobooth.edu

Reposted by Alex Imas

Are we “strangers to ourselves”? Classic theories say people have limited insight into how they decide. Our new paper at @natcomms.nature.com challenges this view. With @rcarl.bsky.social sky.social, @hedykober.bsky.social y.social, and @mjcrockett.bsky.social

www.nature.com/articles/s41...

🧵
Introspective access to value-based multi-attribute choice processes - Nature Communications
People routinely choose between multi-attribute options, such as which movie to watch. Here, the authors show people often have accurate insight into their choices, challenging the notion that people ...
www.nature.com

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.

🚨New paper (link in reply)🚨

Are we underestimating AI use in self-report surveys?

Yes, by as much as 30 percentage pts. We find 60% self-reported vs. truth closer to ~90% (!!)

Why? Social desirability bias, people embarrassed/worried to admit AI use, so they underreport 🧵

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...

We ran large survey in educational setting--undergraduates at a mid-sized, selective university--where social desirability bias may be particularly prevalent...

One reason for difference in estimates: People may be embarrassed/worried to reveal their own AI use due to either social norms or fear of repercussions.

Such social desirability bias--tendency to answer surveys in ways others view favorably--could bias estimates downwards...

Survey of AI use typically rely on self-reports: people are asked whether they use AI and the extent to which they do.

Estimates of AI use vary wildly both between and within the same setting, making it hard to pin down true prevalence of AI use...
I wrote something up for AI people who want to get into bluesky and either couldn't assemble an exciting feed or gave up doomscrolling when their Following feed switched to talking politics 24/7.
The AI Researcher's Guide to a Non-Boring Bluesky Feed | Naomi Saphra
How to migrate to bsky without a boring feed.
nsaphra.net