John Stachurski
@john_stachurski
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Professor of econ at ANU, co-founder of @QuantEcon, part time code monkey, loves maths, motorbikes, table tennis, sailing and beer.
Joined May 2013
Goodhart's law also applies to academia. Successful research teams are driven by strong culture and shared values, not metrics.
buttondown.com
It's not just about your boss.
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RT @CambUP_Econ: Economic Networks by Thomas J. Sargent and John Stachurski - @john_stachurski.A rigorous and unified treatment of economic….
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Two approaches to vectorization in JAX applied to a basic household problem:
jax.quantecon.org
This website presents a set of lectures on quantitative economic modeling using JAX, designed and written by Thomas J. Sargent and John Stachurski.
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New lecture in the JAX series: the Lucas asset pricing model:
jax.quantecon.org
This website presents a set of lectures on quantitative economic modeling using JAX, designed and written by Thomas J. Sargent and John Stachurski.
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Now accepted at Cambridge UP but with a free copy to remain on the Internet for as long as our civilization survives :-)
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I'm coding in JAX all the time now -- it's freakishly fast and efficient. Tom and I (plus our RAs!) have written a short lecture series on JAX in case people find it useful:
jax.quantecon.org
This website presents a set of lectures on quantitative economic modeling using JAX, designed and written by Thomas J. Sargent and John Stachurski.
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My favorite Lucas quote (among many great ones):
conversableeconomist.com
As the managing editor of an academic journal, inhabiting the broader universe of academia, I am continually stunned by how much people know about their given subject of choice. Robert E. Lucas...
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Finally finished the first volume on dynamic programming with Tom Sargent: --- contains many new results, all feedback most welcome. .
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A lot of the code in this repo is new and will be migrated to the @quantecon lectures over the next few months --- especially the material on JAX.
This past week, @john_stachurski and @WinantPablo held a workshop on scientific computing in #Python and #JuliaLang at the Central Bank of Chile (@bcentralchile). Materials available here:
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Many thanks to @WinantPablo and the team at the Central Bank of Chile for hosting and helping run a great workshop on computational methods.
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RT @ASE_cotonou: African School of Economics (ASE) .ASE students have been taking a summer workshop since Monday, July 11. Taught by QuantE….
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This was a team effort, with big thanks to @abiylfoyp , @mmcky_ , @natashajwatkins, @shu_sher_hu, and many more, would love to hear feedback.
"Economic Networks: Theory and Computation" by @john_stachurski and Tom Sargent covers the mathematical and computational foundations of networks, with accompanying #Python and @JuliaLanguage code. 📕Free download here:
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RT @QuantEcon: QuantEcon lectures include exercises with solutions so you can test your #Python skills 🐍. Code in the exercises can now be….
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Coase's paper "The Nature of the Firm" is purely verbal but simple, beautiful and important. I highly recommend it. Here's a quantitative interpretation using Julia:
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New lecture from Tom Sargent, and thanks @natashajwatkins for corrections.
New lecture🚨🚨 Introduction to Artificial Neural Networks with JAX here: #DeepLearning #neuralnetworks #Python.
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now orders notebooks by date, starting with newest, so new submissions get more visibility. .
Easily share your Jupyter notebooks related to #economics using QE notes. Here's a new one that replicates Rust's optimal stopping model in #Python
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This was fun to put together. Google Colab pro for $10 per month gets you some nice hardware.
Tom Sargent and @john_stachurski use @GoogleOSS's JAX to speed up an optimal saving dynamic programming problem over 1000x!
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RT @QuantEcon: QuantEcon lectures and notebooks now support @JuliaLanguage v1.7 -- thanks to @jlperla and his team!.
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