Scholar

Alex Imas

Videos
H-index: 24
Economics 32%
Business 23%
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Reposted by: Alex Imas

bcfginitiative.bsky.social
‼️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
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Reposted by: Alex Imas

umakarma.bsky.social
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
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by Alex Imas

aleximas.bsky.social
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
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Reposted by: Alex Imas

chicagoboothreview.bsky.social
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
5 8

Reposted by: Alex Imas

aleximas.bsky.social
LINK: papers.ssrn.com/sol3/papers....
Underreporting of AI use: The role of social desirability bias
The integration of artificial intelligence (AI) into work and educational settings is rapidly increasing, yet accurately gauging its adoption remains a challeng
papers.ssrn.com
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Reposted by: Alex Imas, Steven Glazerman, Cátia Batista , and 1 more

olihanney.bsky.social
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
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Reposted by: Alex Imas

qjeharvard.bsky.social
#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
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Reposted by: Alex Imas, Berk Özler

klauspforr.bsky.social
Paper by @aislinnbohren.bsky.social @instrumenthull.bsky.social and @aleximas.bsky.social on Systemic Discrimination now published in QJE
academic.oup.com/qje/article/...
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
academic.oup.com
4 12

Reposted by: Alex Imas

caai-booth.bsky.social
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
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Reposted by: Alex Imas

chicagoboothreview.bsky.social
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
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by Eric J. Topol — Reposted by: Alex Imas

erictopol.bsky.social
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/...
10 200 350

by Peter Bergman — Reposted by: Alex Imas, Avi Goldfarb, Raffaella Sadun , and 1 more

reveconstudies.bsky.social
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.

👇
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Reposted by: Alex Imas

chanda.blacksky.app
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.
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Reposted by: Alex Imas

chicagoboothreview.bsky.social
"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
3 6

Reposted by: Alex Imas

sweiwang.bsky.social
Update on the paper: www.wsj.com/tech/ai/mit-...
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.
www.wsj.com
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by Alex Imas

aleximas.bsky.social
Sorry, fixed!

bsky.app/profile/alex...
aleximas.bsky.social
Alex Imas @aleximas.bsky.social · Apr 30
LINK: papers.ssrn.com/sol3/papers....
Underreporting of AI use: The role of social desirability bias
The integration of artificial intelligence (AI) into work and educational settings is rapidly increasing, yet accurately gauging its adoption remains a challeng
papers.ssrn.com
1

Reposted by: Alex Imas, Olivier Corneille

thatadammorris.bsky.social
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
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by Alex Imas

aleximas.bsky.social
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.
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by Alex Imas — Reposted by: Alex Imas

aleximas.bsky.social
🚨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 🧵
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by Alex Imas

aleximas.bsky.social
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.
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by Alex Imas

aleximas.bsky.social
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.
1

by Alex Imas

aleximas.bsky.social
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.
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by Alex Imas

aleximas.bsky.social
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".
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by Alex Imas

aleximas.bsky.social
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...
1

by Alex Imas

aleximas.bsky.social
We ran large survey in educational setting--undergraduates at a mid-sized, selective university--where social desirability bias may be particularly prevalent...
1

by Alex Imas

aleximas.bsky.social
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...
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by Alex Imas

aleximas.bsky.social
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...
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Reposted by: Alex Imas, Nicholas A. Christakis, Mark E. Schaffer , and 2 more

nsaphra.bsky.social
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
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Reposted by: Alex Imas

chenhaotan.bsky.social
The Midwest Machine Learning Symposium will happen in Chicago on June 23-4 on the University of Chicago campus (midwest-ml.org/2025/). We have an amazing lineup of speakers:@profsanjeevarora.bsky.social from Princeton, Heng Ji from UIUC, Tuomas Sandholm from CMU, @ravenben.bsky.social from UChicago.
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by Alex Imas

aleximas.bsky.social
That’s a “hell yeah”. Take me to the best gym in Durham.
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References

Fields & subjects

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