QuantEcon is a @NumFOCUS fiscally sponsored project dedicated to developing open source computational tools for economics. Supported by the @SloanFoundation.
Montana, USA
Joined September 2015
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QuantEcon retweeted
Tom Sargent and John Stachurski have written a @QuantEcon note on this (h/t @aledinola)
python-advanced.quantecon.or…
QuantEcon retweeted
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
ALT headshot of Yu Deng
ALT headshot of John Pardon
ALT headshot of Jacob Tsimerman
ALT headshot of Hong Wang
QuantEcon retweeted
@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…
QuantEcon retweeted
Economic Networks by Thomas J. Sargent and John Stachurski - @john_stachurski
A rigorous and unified treatment of economic networks, from foundational theory to recent applications.
📚cup.org/4aeVJ3R
QuantEcon retweeted
New blog post introducing @Jupyteach -- a new #LMS for teaching #Python and #DataScience with #Jupyter (@ProjectJupyter ). We've been hard at work on this for the past few months and have big plans coming up. Stay tuned 👀 blog.valorumdata.com/introdu…
QuantEcon retweeted
I have heard many regrets on projects started and tools learned, but have NEVER heard an economist say: "I wish I hadn't learned so much linear algebra"
For PhD teaching, consider pointing students to julia.quantecon.org/tools_an… and julia.quantecon.org/tools_an… from @QuantEcon
QuantEcon retweeted
Very much enjoyed the opportunity to present my joint research co-authored with Tom Sargent at the #IAAE2023 conference in Oslo #EconTwitter #DecisionTheory – at Chicago, IL
Hi #EconTwitter!
This is @UncertainLars (@UChicago) giving the 𝐉𝐨𝐮𝐫𝐧𝐚𝐥 𝐨𝐟 𝐀𝐩𝐩𝐥𝐢𝐞𝐝 𝐄𝐜𝐨𝐧𝐨𝐦𝐞𝐭𝐫𝐢𝐜𝐬 lecture at #IAAE2023 #Oslo.
See the tweet below 👇 for links to Lars’ paper!
#Econometrics #Uncertainty
QuantEcon retweeted
Now accepted at Cambridge UP but with a free copy to remain on the Internet for as long as our civilization survives :-) networks.quantecon.org/
QuantEcon retweeted
Finally finished the first volume on dynamic programming with Tom Sargent: dp.quantecon.org/ --- contains many new results, all feedback most welcome...
QuantEcon retweeted
Really excellent Demo Day talk from @mmcky_ on @ExecutableBooks and @myst_tools -- including how @QuantEcon is using them in their amazing educational and research tools.
Video on Youtube:
youtu.be/NNVEZMzw89I
QuantEcon retweeted
🚨EC.Soc.Summer school and Conference on „Deep learning for solving and estimating dynamic models🚨 deadline approaching!! dseconf.org/dse2023# We have a fantastic line up of lecturers! @john_stachurski @QuantEcon @YuchengYang1993 H. Chen @MITSloan , J.Fernandez-Villaverde
QuantEcon retweeted
Very much looking forward to hosting the econometric soc. summerschool/conf. on „Deep Learning for Solving and Estimating Dynamic Models“. Fantastic set of lecturers! see you in Lausanne in August! @heclausanne @unil @YuchengYang1993 @Fedor_Iskhakov @QuantEcon @E4S_Center
Announcement of DSE 2023 summer school and conference at University of Lausanne, Switzerland ift.tt/MhxXCUR
We are pleased to announce the next DSE event to take place at University of Lausanne, Switzerland on August 21-26, 2023. The theme of the summer school and the…
QuantEcon retweeted
There are limited spaces left at our upcoming 2023 Goldsmith public lecture: Sources of artificial intelligence.
Join Thomas J. Sargent, Professor of Economics at New York University and a 2011 Nobel Laureate in Economic Sciences.
Register here: bit.ly/3YhMs4B
#ANUCBE
QuantEcon retweeted
Had a productive workshop on Computational methods for economics and finance with Thomas Sargent and @john_stachurski @QuantEcon
QuantEcon retweeted
Join Professor Thomas J. Sargent as he presents a 2023 Goldsmith public lecture – Sources of artificial intelligence.
This lecture is about human & artificial intelligence & learning. Tom takes ‘artificial’ to mean ‘non-human’.
Register here: bit.ly/3YhMs4B
#ANUCBE
QuantEcon retweeted
Want a new toolbox to solve DSGE models that uses simultaneous transition and policy function iterations? Using consistency equations this global method can be more efficient and accurate than original algorithms for models with endogenous state variables! sciencedirect.com/science/ar…
QuantEcon retweeted
For #MLKDay, we've updated our guide on building #GuaranteedIncome policies--as MLK advocated--in the new PolicyEngine interface.
blog.policyengine.org/how-to…
QuantEcon retweeted
My intro notes for network analysis in economics are now on @QuantEcon #DataScience — a great set of open source resources for teaching computational skills to undergraduate economists 🧑💻
Click here to learn more about #eigenvalues! datascience.quantecon.org/ap…
QuantEcon retweeted
On this last day of 2022, a look back at some highlights from the PSL community and @PSLFoundation over the year, including the work of @ThePolicyEngine and @QuantEcon:
blog.pslmodels.org/2022-year…
Thank you to all the supporters of PSL for making this possible!
Happy New Year!
QuantEcon retweeted
"I understand the extent to which a lack of information and the lack of a network could be binding constraints on folks in reaching their full potential," says @adjognon_s, an Amazon economist who helped @QuantEcon with course planning and logistics. #EconTwitter #DEI