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Ben Hyman

@ReviseNRetweet

Economist @UCLA / @CAPolicyLab. Formerly @NYFedResearch, @Wharton PhD. 🤓: Labor (+ AI/trade), PF, Urban Econ (+ Industrial Policy). Views here are my own.
Berkeley, CA benhyman.com Joined January 2014
962 Following 1.1K Followers 835 Posts

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Ben Hyman @ReviseNRetweet
Very excited to share this new public tool for tracking AI-related job loss in real time: the California AI-Unemployment Tracker (CAIT), developed in partnership with @CAPolicyLab and CA’s Employment Development Department. Key findings & links below (views here are my own): 🧵/1
California Policy Lab Verified account @CAPolicyLab Jun 25
Today, we launched a first-of-its-kind tool that brings real-time data to one of the biggest questions facing California: how artificial intelligence may be reshaping the labor market. 🧵(1/9) capolicylab.org/california-ai-…
Screen shot of the California AI-Unemployment Tracker (CAIT)
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Ben Hyman @ReviseNRetweet
Overall, this is a really refreshing step for econ program eval. In 5 years, we can compare pre-registered ML predictions to future RCT results to see how well this performs out of the "class of programs" it is purposed for. Still doesn't solve the admin data access problem tho.
Arpit Gupta Verified account @arpitrage 6d
Amazing new paper by Chetty and the Opp Insights team — digital twins can recover causal effects

They validate the digital twins (ie rich ML applied to generate counterfactuals from lots of covariates) with RCTs, allowing for scalable program evaluation

opportunityinsights.org/wp-content/upl…
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Ben Hyman @ReviseNRetweet
Entire reason I transitioned from my IR undergrad to Econ PhD
Lyman Stone 石來民 🦬🦬🦬 Verified account @lymanstoneky Nov 2
i enjoy dunking on economists as much as anybody

but the reason economists do this is because the innumerate wordcels in other disciplines have often never actually written down a real quantifiable model

you have these sprawling theoretical edifices where nobody ever actually put it into logical terms you can test
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