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Jeff Gortmaker Profile picture
Jeff Gortmaker
@jeff_gortmaker
PhD candidate @HarvardEcon, @HarvardHBS
Nov 18 • 18 tweets • 6 min read
Hey #EconTwitter, I'm on the job market with a paper about open source software. OSS is a global public good, widely used and provided by the private sector, but the target of recent industrial policy.

Paper:

1/ jeffgortmaker.com/files/Open_Sou…Image 2/ I build an empirical model to quantify the global effects of China expanding its OSS policies (and a US response).

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. Image
Jun 22 • 6 tweets • 3 min read
If you want to try out this approach in your own BLP estimation, PyBLP has pretty good support! Thanks to @_amackay for helping with getting it added.

Adding covariance restrictions was fairly straightforward, with one sort of obscure technical challenge.

1/6 The interface for adding covariance restrictions is simple ().

You just add a set of "covariance instruments." For many applications this will just be a constant, which adds "E[xi * omega] = 0."

(I should update the citation and remove the warning!)

2/6 pyblp.readthedocs.io/en/stable/_api…Image
Apr 19, 2023 • 16 tweets • 12 min read
Hey #econtwitter, I'm excited to share a new WP with @conlon_chris about micro data (e.g. consumer surveys) in BLP estimation. Alongside it, we finally released PyBLP version 1.0!

Paper: jeffgortmaker.com/files/micro.pdf
Code: github.com/jeffgortmaker/…
Docs: pyblp.readthedocs.io/en/stable/

1/16 ImageImage Since releasing version 0.1 with our 2020 paper (onlinelibrary.wiley.com/doi/10.1111/17…), the most common request has been micro moments.

So we dug through published/recent WPs to see how "micro BLP" has been used in practice. Turns out it's been used a lot. Let us know who we missed!

2/16 Image
Jun 7, 2022 • 9 tweets • 7 min read
Hey #econtwitter, @conlon_chris 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 New framework for micro moments:

This is part of an ongoing project of ours: standardizing and developing best practices for how to incorporate all sorts of "micro data." No tutorials yet, but stay tuned!

2/9 pyblp.readthedocs.io/en/stable/api.…Image
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