@alexolegimas@dwarkesh_sp@pawtrammell Super interesting interview. One thought this inspired: managers likely derive relational utility (i.e. status/power) from managing humans rather than AI. Given the concentration in many industries, managers will likely be able to hold onto this power, delaying AI adoption.
@alz_zyd_ Value menu/daily coupons at fast food (I.e. McDonald’s) fit this category, they’re just a bit hidden on the menu and/or require using the app for coupons.
@heeney_luke You can build a Claude code skill that reviews your x bookmarks, downloads ones that are papers, and indexes it to Zotero. You can also add a pdf parser to markdown as part of the process.
@alz_zyd_ Learning to game things is an important skill itself. It generally requires building a strong and active network. Beyond that I think 1) peer effects are strong and 2) this pattern reflects risk aversion: variance of outcomes lowest at elite institutions.
@mansourtarek_ Why do prediction markets perform so well? Wisdom of the crowds or compensating insiders/experts, I.e., sparse or dense information aggregation
Why are many U.S. cities building less? Why have they insisted on a "thicket" of regulations that make housing hard to build?
In a new #jobmarketpaper with @beau_bressler , I study how much of the answer lies with a forgotten federal program that taught cities to restrict growth
🚀I am on the #EconJobMarket!
My JMP asks a classic question:
Do large, dominant firms foster or hinder innovation?
To study this, I turn to the Great Merger Wave (1895–1904), when >2,600 U.S. firms combined into corporate giants like U.S. Steel and DuPont.
A JMP 🧵👇 (1/13)
New pre-doc positions: @arpitrage and I are hiring for two pre-docs, one to start ASAP and one to start next Fall, to help expand our work using LLMs to measure and study zoning codes in the US.
Please apply here: https://t.co/LdclIM9LAg
🚨New predoc positions!🚨
Join @AlexBartik and me to work on developing LLM tools to analyze zoning regulations and their impacts on housing affordability.
One position starting at the "normal" cycle next year, and another ASAP.
Apply here: https://t.co/4ipNLuQ8zi
@floor_per_area It can lower the cost of housing, reducing deadweight fees and freeing up developers to build more cost effective units. More standardized zoning could induce more developers to enter the market too. Issue is most upzonings are usually modest especially in high demand areas
📢Heavily revised working paper on AI + Zoning —
with @AlexBartik and @DMilo75, we have a new draft of our paper which expands on our method to understand housing regulations with AI.
Incudes a new public data release with more housing regulation data:
New WP! @andrea_eisfeldt and I have put together an overview of Generative AI as a shock to technology in the economy at large and to the finance industry and financial research "technology" in particular, for the Annual Review of Financial Economics...
Google's NotebookLM is the current best "wow this is amazing & useful" demo of AI
Here I gave it the entire text of my book, it turned it into a podcast, a study guide, FAQ, timeline & quite accurate chat
Listen to the first few minutes of the "podcast." Seriously, just listen.
🚨 New publicly available dataset on housing regulations across US municipalities
With @AlexBartik and @DMilo75, we highlight a novel AI-based method for accurate categorization of regulations in unstructured text, which we use to establish 5 facts about housing regulation: