Assistant Professor at NYU Stern Econ in 2026
https://jeffgortmaker.com
https://x.com/jeff_gortmaker
The sessions are hands-on and last time we had a ton of great questions. Sign up here: www.mixtapesessions.io/session/dema...
The sessions are hands-on and last time we had a ton of great questions. Sign up here: www.mixtapesessions.io/session/dema...
In a happy twist of fate, this means @cconlon.bsky.social and I will be colleagues exactly 10 years after our first PyBLP commit:
In a happy twist of fate, this means @cconlon.bsky.social and I will be colleagues exactly 10 years after our first PyBLP commit:
It's our 2nd tied to our PyBLP software, so here's a thread on surprising (to me) benefits of combining methods research with open source work. 1/6
It's our 2nd tied to our PyBLP software, so here's a thread on surprising (to me) benefits of combining methods research with open source work. 1/6
Benefits don't seem localized enough for a "tax" on foreign collaboration to boost domestic OSS investment. Instead, lost spillovers raise web development costs globally.
Benefits don't seem localized enough for a "tax" on foreign collaboration to boost domestic OSS investment. Instead, lost spillovers raise web development costs globally.
Firms prefer OSS with more, own, and domestic investment. The model translates these patterns into public, private, and localized benefits of OSS investment.
Firms prefer OSS with more, own, and domestic investment. The model translates these patterns into public, private, and localized benefits of OSS investment.
A weak link between OSS use and traffic translates into a weak effect of OSS use on quality, limiting the effect of OSS on competition and consumers in policy simulations.
A weak link between OSS use and traffic translates into a weak effect of OSS use on quality, limiting the effect of OSS on competition and consumers in policy simulations.
I get to use my own OSS PyBLP to estimate demand! I find strong "home bias," limiting international competition in policy simulations.
I get to use my own OSS PyBLP to estimate demand! I find strong "home bias," limiting international competition in policy simulations.
But benefits are uneven: firms contribute features that primarily help themselves (private benefits) and features in Chinese especially help China (localized benefits).
But benefits are uneven: firms contribute features that primarily help themselves (private benefits) and features in Chinese especially help China (localized benefits).
Firms choose labor and software to maximize profits: revenue from quality production minus web developer costs.
Firms choose labor and software to maximize profits: revenue from quality production minus web developer costs.
While OSS investment is rare and concentrated, web OSS usage is widespread and dispersed.
While OSS investment is rare and concentrated, web OSS usage is widespread and dispersed.
First, I identify OSS used to build archived homepages of the top 10,000 websites (2014-2022). Then, I link web OSS → 200K GitHub contributors → employers on LinkedIn → back to these websites.
First, I identify OSS used to build archived homepages of the top 10,000 websites (2014-2022). Then, I link web OSS → 200K GitHub contributors → employers on LinkedIn → back to these websites.
Web development is ideal because it lets us observe software inputs - key for a revealed preference approach.
Web development is ideal because it lets us observe software inputs - key for a revealed preference approach.
In May 2022, Gitee had to freeze all OSS projects for manual review. I collect Gitee data to document a sharp drop in activity after this censorship event.
In May 2022, Gitee had to freeze all OSS projects for manual review. I collect Gitee data to document a sharp drop in activity after this censorship event.
I show a growing "VPN gap" between my measure of Chinese GitHub activity (based on self-reported locations) and GitHub's Innovation Graph data (based on IPs).
I show a growing "VPN gap" between my measure of Chinese GitHub activity (based on self-reported locations) and GitHub's Innovation Graph data (based on IPs).
I use censorship watchdog data to show that in 2021, China made it harder for domestic developers to access GitHub directly.
I use censorship watchdog data to show that in 2021, China made it harder for domestic developers to access GitHub directly.
Before the model, what's going on in China? Most OSS collaboration happens on GitHub. Less-known is its Chinese counterpart, Gitee, state-backed since 2020.
Before the model, what's going on in China? Most OSS collaboration happens on GitHub. Less-known is its Chinese counterpart, Gitee, state-backed since 2020.
Paper: jeffgortmaker.com/files/Open_S...
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Paper: jeffgortmaker.com/files/Open_S...
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