Weldon Lin

80 posts

Weldon Lin

Weldon Lin

@wdwlin

Finance PhD student @MITSloan

Katılım Mart 2020
273 Takip Edilen50 Takipçiler
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Emily Oster
Emily Oster@ProfEmilyOster·
Advice for PhD students in economics about using AI, from the brilliant Isaiah Andrews. This should probably be circulated to all PhD cohorts economics.mit.edu/sites/default/…
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Weldon Lin
Weldon Lin@wdwlin·
Excited to share our new paper on AI financial advice! We show that differences come not just from what people ask, but also from how models respond to the same prompt, and both matter for long-run wealth. More in the thread below!🧵
Taha Choukhmane@TahaChoukhmane

🧵 1/11 Half of U.S. adults already use AI for financial advice: what advice are they getting? New paper: we ask people to write prompts seeking financial advice from LLMs & simulate the lifetime impact of following that advice (w/ @timdesilva, @wdwlin & @AkuzawaMatthew)

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Roger E. A. Farmer
Roger E. A. Farmer@farmerrf·
This is truly terrifying. Watch the whole X-post. And bookmark the date. Feb 12 2026. This post documents Claude Code writing an entire economics paper from ideation to completion in under 6 hours. @YanagizawaD I have not read the paper. I do not know if it makes sense. But I would stake money on the bet that it could be published in a Journal. By the end of the year, I would stake money on the bet that AI will be producing papers that can make it to top 5 Econ journals. Time to reassess your career objectives.
D. Yanagizawa-Drott@YanagizawaD

I always dreamed of becoming a macroeconomist one day.

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Antonio Mele
Antonio Mele@antoniomele101·
1/ Economists: I’ve launched a small project to make AI coding tools actually useful for your day‑to‑day work. Awesome Econ AI Stuff – a growing collection of reusable AI “skills” for Claude Code, Cursor and Gemini CLI, tailored to empirical + theoretical economics. meleantonio.github.io/awesome-econ-a…
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Chad Jones
Chad Jones@ChadJonesEcon·
"AI and Our Economic Future" New paper in preparation for the Journal of Economic Perspectives ==> accessible to a broad audience. web.stanford.edu/~chadj/AIandEc…
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Alex Imas
Alex Imas@alexolegimas·
Here is why I’m worried about AI-driven labor disruption and why I think economists should fight for a seat at the policy table. TL;DR: AI is general purpose tech, disruption can happen at diff scale than before. Step back, let ‘er rip and analyze later may be disastrous. 1/n
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Yu Feng
Yu Feng@AnnieFeng6·
LLM CoT reasoning looks smart but can be logically flawed or... just made up. It's time to hold reasoning accountable! We built VeriCoT to do just that. VeriCoT extracts the core argument of the CoT using well-formed symbolic notions of logical support. It formalizes every CoT step into first-order logic and finds the exact premise it's built on. This gives us two superpowers: 🤖Automated Proof: Solvers can automatically verify if the logic is valid. 🧑‍🔬Human-Readable Audits: Natural language premises let you pinpoint ungrounded leaps or fallacies. Best of all, all these can be used as signals to learn more verifiable models! To our knowledge, VeriCoT is the first neuro-symbolic validator of CoT traces in non-math/code domains. 📄 Paper: arxiv.org/pdf/2511.04662
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Weldon Lin
Weldon Lin@wdwlin·
Check out our #ICLR2025 paper on LLMs under uncertainty!
Yu Feng@AnnieFeng6

#ICLR2025 Oral LLMs often struggle with reliable and consistent decisions under uncertainty 😵‍💫 — largely because they can't reliably estimate the probability of each choice. We propose BIRD 🐦, a framework that significantly enhances LLM decision making under uncertainty. BIRD = LLM strengths + sound probability theory BIRD leverages LLMs for world modeling and constructs a Bayesian network using LLM-generated variables, enabling interpretable and trustworthy probability estimates. ✨ BIRD using LLaMA-3.1-70B achieves 30% more accurate probability estimates than GPT-4. 📄 Paper: openreview.net/pdf?id=fAAaT82… 💻 Code: github.com/CogComp/BIRD Shoutout to my amazing collaborators: @BenZhou96 @wdwlin @DanRothNLP 🗓️ Oral Session 1B: Thu 24 April, 10:54 a.m. – 11:06 a.m. SGT ➡️ Poster: Thu 24 April, 3:00 p.m. – 5:30 p.m. SGT #AI #LLM #decisionmaking #ProbabilisticAI (1/n)

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Rebecca Diamond
Rebecca Diamond@rebeccardiamond·
New paper with @wdiamond_econ on racial differences in total rates of return on housing for owner occupants. We have new methods to estimate rental values of owner-occupied housing. We find Black and Hispanic homeowners earn higher returns than White owners.
Will Diamond@wdiamond_econ

Just posted a new paper: "Racial Differences in the Total Rate of Return on Owner-Occupied Housing" with @rebeccardiamond . We examine racial inequality in "total returns:" house price appreciation, a home's rental value, property taxes, and maintenance. papers.ssrn.com/sol3/papers.cf…

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Rob Donnelly
Rob Donnelly@RobDonnelly47·
Friends don't let friends make bad charts! Chenxin Li, pulled together a lot of great advice for data visualization, with clear "do this, not that" examples for each item. Here are a few of my favorites, see the link below for more.
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Todd Jones 🦊
Todd Jones 🦊@toddrjones·
Quick @Stata tip: I've written a book that compiles 97 of my Stata tips. You can download "Quick Stata Tips" and the companion .do file for free at toddrjones.com/quickstatatips/
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Ryan McDevitt
Ryan McDevitt@ryanmcdevitt·
Great motivation for our case discussion on market power in the drug industry coming up on Monday: The 4 Arguments You Will Hear Against Drug Price Negotiation nytimes.com/2023/09/06/opi…
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