@QuantEcon

QuantEcon is a @NumFOCUS fiscally sponsored project dedicated to developing open source computational tools for economics. Supported by the @SloanFoundation.

 Montana, USA
quantecon.org
Joined September 2015
  • Tweets367
  • Following420
  • Followers7.3K
51Media
Pure, beautiful abstract Dynamic Programming theory❣️❣️❣️ #DynamicProgramming #EconomicTheory #QuantEcon #EconTwitter
John Stachurski@john_stachurskiMar 21
Tom and I have finally finished a draft of Dynamic Programming Vol 2! Exhausting but satisfying. New approach to DP theory, advanced material, many applications... dp.quantecon.org/

Dynamic Programming

Dynamic Programming: Volume I (Finite States) and Volume II (General States). By Thomas J. Sargent and John Stachurski.

dp.quantecon.org
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We’re super delighted to host Simon’s new book, Deep Learning for Solving and Estimating Dynamic Models in Economics and Finance❣️❣️❣️
Simon Scheidegger@comp_simonAug 20
Thrilled that "Deep Learning for Solving and Estimating Dynamic Models in Economics and Finance," found a home at @QuantEcon. Access the e-book/code here: quantecon.org/books/ . Huge thanks to Matt McKay, @john_stachurski , Tom Sargent, QuantEcon team for making this happen!
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Tom Sargent and John Stachurski have written a @QuantEcon note on this (h/t @aledinola) python-advanced.quantecon.or…

Equilibrium Capital Structures with Incomplete Markets

This website presents a set of lectures on advanced quantitative economic modeling, designed and written by Thomas J. Sargent and John Stachurski.

python-advanced.quantecon.org
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During today's #ICM2026 opening ceremonies, the IMU announced the 2026 Fields Medals recipients: @UChicago's Yu Deng, @stonybrooku's John Pardon, @UofT's Jacob Tsimerman, and Hong Wang of @nyuniversity and @Institut_IHES. Read more: bit.ly/4psOJbU
headshot of Yu Deng

ALT headshot of Yu Deng

headshot of John Pardon

ALT headshot of John Pardon

headshot of Jacob Tsimerman

ALT headshot of Jacob Tsimerman

headshot of Hong Wang

ALT headshot of Hong Wang

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Definitely should not miss this❣️❣️❣️
Simon Scheidegger@comp_simonMay 13
Thrilled to share a project I've been refining: a complete, open-source repository on "Deep Learning for Solving and Estimating Dynamic Models in Economics and Finance." I've cleaned up the materials from my PhD classes and summer schools into one coherent resource. 🧵 1/6
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Exciting to see our co-founder @john_stachurski leading a fantastic workshop on Advanced Computational Method at @CarnegieMellon ❣️❣️❣️ See more here: github.com/QuantEcon/cmu_202… #Python #GoogleJAX #EconTwitter
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Beautiful and deeply deserved. Truly grateful for your guidance and the opportunity to work with you❣️❣️❣️
John Stachurski@john_stachurskiMar 28
I know we shouldn't be driven by desire for accolades but I am proud of this one. Maybe I didn't entirely waste my short moment of time on this beautiful planet 🥹❤️ comp-econ.com/contest-and-pr… @SocCompEcon
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Dynamic Programming II just got its final chapter - - - Approximation + reinforcement learning — free forever ❣️❣️❣️ #DynamicProgramming #QuantEcon #OpenSource #EconTwitter
John Stachurski@john_stachurskiMar 26
We added a new and final chapter to Dynamic Programming Vol II (DP2) on approximation and reinforcement learning: dp.quantecon.org/. DP1 and DP2 will always remain freely available online -- give me liberty or give me death 🤟💀

Dynamic Programming

Dynamic Programming: Volume I (Finite States) and Volume II (General States). By Thomas J. Sargent and John Stachurski.

dp.quantecon.org
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QuantEcon lectures can now be launched straight into Google Colab—no local setup needed🎉🎉🎉 Thanks @jlperla for making this even more accessible❣️❣️❣️ #JuliaLang #QuantEcon #OpenSource #ComputationalEconomics #EconTeaching #JuliaNotebooks #GoogleColab #Economics #DataScience
Jesse Perla@jlperlaFeb 24
In the latest @QuantEcon Julia release, you can now launch notebooks directly in @GoogleColab. Just click ▶️ on the online lecture to open it in Colab. On first run, the notebook automatically installs all required packages.
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A big new release for Quantitative Economics with Julia 🎉 🎉 🎉 Thanks @jlperla for the overview — lots of improvements ❣️❣️❣️ #QuantEcon #JuliaLang #ComputationalEconomics #OpenSource
Jesse Perla@jlperlaFeb 19

QuantEcon Julia Release

Article · @jlperla
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Super happy to see Dynamic Programming by Sargent & Stachurski out in the world — rigorous, elegant, and full of applications. A beautiful piece of work❣️❣️❣️
Cambridge Economics@CambUP_Econ1 Oct 2025
Dynamic Programming by Thomas J Sargent and John Stachurski Provides a rigorous and unified presentation of recent advances in dynamic programming, along with code, algorithms, and many applications. 📚 cup.org/452So7L
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We keep revising our Jax lectures❣️❣️❣️ jax.quantecon.org/intro.html #Google #Python

Quantitative Economics with JAX

This website presents a set of lectures on quantitative economic modeling using JAX, designed and written by Thomas J. Sargent and John Stachurski.

jax.quantecon.org
Google Open Source@GoogleOSS11 Nov 2025
From hours to seconds 🤯. An economist from @QuantEcon tells the story of how JAX's simple and expressive API transformed a critical economic model for the Central Bank of Chile, making high performance accessible. #JAX #SciComp #Economics #Python goo.gle/jax-economics

How JAX makes high-performance economics accessible

JAX is widely recognized for its power in training large-scale AI models. Its core design unlocks its potential in a broader scientific landscape.

opensource.googleblog.com
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Should not miss it❣️❣️❣️
Simon Scheidegger@comp_simon22 Jul 2025
The tentative program for the summer school/conference on "Deep Learning in Economics and Finance (August 25-29)" is online: sites.google.com/carloalbert…, and sites.google.com/carloalbert… @YuchengYang1993 @glviolante @unito @nuvoloscloud
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Great❣️It’s always nice to have more options available‼️ notes.quantecon.org/submissi…
Mizuhiro Suzuki@mizuhiro_suzuki2 Jan 2025
I added a notebook to @QuantEcon Notes. It shows how to use Julia JuMP for OLS and ML estimations. Of course the purpose of the document is not to argue that we should use JuMP for OLS or ML! I wanted to see how JuMP could accommodate estimations with data.
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We have just added a new lecture on Neural Network using Keras and JAX. ❣️Don’t miss it.❣️ jax.quantecon.org/keras.html

Simple Neural Network Regression with Keras and JAX

This website presents a set of lectures on quantitative economic modeling using JAX, designed and written by Thomas J. Sargent and John Stachurski.

jax.quantecon.org
Jesse Perla@jlperla21 Nov 2024
Replying to @jlperla
Also, a reminder that @quantecon has rapidly expanding content for other frameworks, including Python JAX jax.quantecon.org/intro.html

Quantitative Economics with JAX

This website presents a set of lectures on quantitative economic modeling using JAX, designed and written by Thomas J. Sargent and John Stachurski.

jax.quantecon.org
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QuantEcon retweeted
Jesse Perla@jlperla21 Nov 2024
Replying to @QuantEcon
@QuantEcon has released an updated version of the Julia lecture notes, with updated manifests and packages for Julia 1.11 support: julia.quantecon.org/intro.ht…

Quantitative Economics with Julia

This website presents a set of lectures on quantitative economic modeling, designed and written by Jesse Perla, Thomas J. Sargent and John Stachurski. The language instruction is Julia.

julia.quantecon.org
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Those fascinating reflections❣️❣️❣️
Danilo Guaitoli@daguaitoli4 Oct 2024
You don't hear very often this kind of reflections on economics' methodology. So interesting to hear Tom Sargent talking about Lucas' approach to macro (today at NYU) tomsargent.com/research/Macr…
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