Learning Collider

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Learning Collider

Learning Collider

@learncollider

Building AI that Expands Human Opportunity Housing, Education, Workforce Nonprofit research lab founded by @peterbergman_ (@UTAustinEcon, @JPAL, @NBERpubs)

가입일 Nisan 2020
443 팔로잉339 팔로워
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J-PAL
J-PAL@JPAL·
How can we improve access to quality education for all? Affordable Housing, @GreatSchools & J-PAL affiliate @PeterBergman_ highlight the impact of evidence on housing choices. Watch the full story🔽
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Noam Angrist
Noam Angrist@angrist_noam·
📣A/B testing, common in tech, has massive potential to maximize impact in the social sector. Check out our new Insight Note @WWHGlobalEd @youthimpactorg: ➡️"A/B testing in education: rapid experimentation to optimise programme cost-effectiveness" wwhge.org/resources/a-b-…
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Jonathan Colmer
Jonathan Colmer@JonathanColmer·
#EconTwitter I'm very excited to present our new working paper (nber.org/papers/w33050) at @BrownUniversity tomorrow! Thanks for hosting me! A mid-sized 🧵 TL;DR: "Racial differences in income unable to explain a meaningful share of gaps in ambient air pollution exposure."
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Learning Collider
Learning Collider@learncollider·
A common assumption is that families with Section 8 vouchers prefer to live in low-opportunity neighborhoods. What if that's not the case? Turns out, barriers to higher-opportunity neighborhoods play a major role in where low-income Americans end up living.
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Peter Hull
Peter Hull@instrumenthull·
Very excited that "Building Non-Discriminatory Algorithms in Selected Data" (with David Arnold & Will Dobbie) is now forthcoming at AER: Insights! This is the third (& final?) chapter of a series of AEA papers using IV methods to measure and reduce discrimination in high-stakes decisions. The table of contents goes something like: 1. The 2022 AER, on measuring discrimination in human decision-making (shorturl.at/2hLuQ) 2. The 2021 AEA P&P, on measuring discrimination in algorithmic decisions (shorturl.at/SWBKa) 3. The forthcoming AER:I, on reducing discrimination in algorithmics (shorturl.at/h6lDB) I learned a ton working with David and Will on these papers; I hope you find them interesting too!
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Peter Hull
Peter Hull@instrumenthull·
Alis paper develops new tools to measure discrimination in eviction filings, and uncovers a lot of it. I learned a ton in talking to her about this important work. Very well deserved!
Brown Economics@Brown_Economics

Congratulations to Alison Lodermeier (PhD '24) for winning the 2024 APPAM PhD Dissertation Award for her dissertation "Essays on the Economics of Eviction." Amazing work Alison!

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David Deming
David Deming@ProfDavidDeming·
At least one in six workers in management, business, and computer-related occupations is using generative AI at work every day. Also, 22% of blue collar workers use AI. From our new paper, "The Rapid Adoption of Generative AI": static1.squarespace.com/static/60832ec…
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Kumar Garg
Kumar Garg@KumarAGarg·
Reasons I love this Yglesias-FAS collab: activates a nerdy readership towards policy action and entrepreneurship. More please!
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Kumar Garg
Kumar Garg@KumarAGarg·
Worth cross-checking how many of the Biden housing supply policy actions were in this batch of policy ideas from earlier in the year. Great example of policy entrepreneurship by @scientistsorg @mattyglesias @sarabronin @peterbergman_ and others.
Federation of American Scientists🔬@scientistsorg

The only way to address housing costs is to address housing supply. P.S. That’s why we developed and published 20 policy memos to tackle the nationwide supply crisis just last week ⬇️ fas.org/accelerator/ho…

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