
Caleb Kwon
@kwon_caleb
Assistant Professor @UTexasMcCombs
ID: 1270817300715761665
https://calebkwon.com 10-06-2020 20:37:14
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Introducing stata2r.github.io w Nick HK and Grant McDermott https://bsky.app/profile/gmcd.bsy Hopefully makes the Stata -> R pipeline much easier. - data-wrangling with {data.table} - regression analysis with {fixest} These packages are blazingly fast 🏃🏻💨, highly powerful 💪🏻😎, and flexible 👌✨





Improving productivity through better management practices buff.ly/3G0EFQK My Impact Case Study with Raffaella Sadun Nick Bloom on our WMS work buff.ly/3tbb9jy Programme on Innovation and Diffusion

Hey #econtwitter, Chris Conlon and I just released version 0.13.0 of PyBLP, our Python package for BLP-style differentiated products demand estimation. Code: github.com/jeffgortmaker/… Docs: pyblp.readthedocs.io/en/stable/ Paper: jeffgortmaker.com/files/pyblp.pdf What's new? 1/9

Despite the promise of #AI to transform work, why do so many companies struggle to actually adopt AI in practice? In a new Harvard Business Review article, Rebecca Karp and I show the importance of strategic pacing and give practical steps for successful AI rollouts: hbr.org/2022/08/find-t…

How will markets react to the FOMC conference tmrw? While the Chair’s press conference typically reinforces the market’s read of the FOMC statement, Namrata Narain and I find a break in the pattern recently: Chair Powell’s latest conferences tend to go the other way. 1/ #econtwitter


Come work with me! I'm hiring a full-time pre-doc for summer 2023. We'll work together on projects studying the criminal justice system. Time will be split with Jamie McCasland, who has some exciting projects in development and PE. Details: economics.ubc.ca/research/resea… Econ RA Listings



Namrata Narain and my recent analysis on market reactions to Fed press conferences in the The Wall Street Journal ! Let's see if Chair Powell bucks the trend today :) wsj.com/livecoverage/f…




Folks, there is no bottom here. Florian Ederer Of course! Quick summary: Markups are (roughly) how much retailers charge above cost. If a retailer buys a pack of Oreos for $1 and sells it for $1.25, that's a 25% markup. There's a large body of evidence that markups (in retail and beyond) have been rising for several decades

Excited to teach this workshop! It combines what I've learned from teaching demand estimation and Python to doctoral students, fielding PyBLP questions from users in academia/government/industry, and my own research with Chris Conlon. Check it out: mixtapesessions.io/session/demand…
