Karan Daryanani
@kdarz_
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The first cohort of Stripe econ of AI fellows: (+thread, with some thoughts on the state of the field)
Introducing the Stripe Economics of AI Fellowship: The economics of AI remains surprisingly understudied. The fellowship aims to help fill that gap, by supporting grad students and early-career researchers with $, data, a conference, and community –
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Econometricians: We propose a new method... Applied economists: 🙂 Econometricians:...with accompanying Stata package. Applied economists:
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Taking a break from my hiatus to share a new working paper that I have been working on. I propose a new estimator that allows researchers to systematically choose the optimal number of fixed effects in their regression. Any comment is welcome!
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Identification strategies as Schitts Creek gifs. A very necessary 🧵 First up is selection on observables
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The validity of your estimates depends on the assumptions of your design, the quality of your data, and whether you use LaTeX or PowerPoint for your slides.
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Stop saying you are a LaTeX user. You don't use LaTeX. You are merely its vessel, a soldier trying to understand and follow its cryptic orders without questioning what they even mean.
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Economist: boy, I can’t wait to test out my new dynamic pricing model today Cashier: Sir, this is a Wendy’s Economist: Cashier: Wendy’s:
A dynamic pricing model, similar to Uber's surge pricing, is being prepared by Wendy's. The price of items may change over the course of the day depending on the demand, with a lunch rush order costing more than "off-peak" hours. https://t.co/1XlZMtQHMw
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Applied micro people forced to take macro to learn about about Bellman equations… ;)
Getting AI engineers to learn linear algebra
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@ryancbriggs @Andrew___Baker fwiw there's an MIT course for CS students that covers make & GIT and *that* is called "the missing semester" 🤦♂️ https://t.co/zGu8Oj9AW0
missing.csail.mit.edu
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