PSLFoundation

Leave a note on the Open Collective Platform and you can direct funds to a project of your choice such as @PolicyEngine, @QuantEcon, Policy Change Index, @PSLmodels

Consider a gift to support open and transparent policy analysis this Giving Tuesday! You can donate to PSL Foundation online via @opencollect. opencollective.com/psl-foundation

QuantEcon has just delivered our Africa summer course in July across three universities in West Africa！It was exciting for us to be able to work with these talented students in West Africa. (@AmazonScience) #EconTwitter

We need to refresh pslmodels.org are are looking for folks with web dev experience that can help. DM if interested and be a part of building the home for open source policy models!

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

Introducing our new lecture series on @GoogleOSS JAX! JAX's high-performance features and compatibility with #NumPy is ideal for quantitative economics that require heavy-duty computing. Access the table of contents here: jax.quantecon.org/intro.html

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-in-r… Thank you to all the supporters of PSL for making this possible! Happy New Year!

If you'd like to support open, transparent, and reproducible policy analysis, please consider a donation to @PSLFoundation this giving season. You can contribute online through @opencollect: opencollective.com/psl-foundation

ICYMI, find @elias_ilin's excellent PSL Demo Day talk on the @AtlantaFed Policy Rules Database on YouTube. Elias really digs in - giving background on the database and examples of how to use and contribute to the project. Check it out: youtu.be/pcf14UDUnxQ

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: github.com/QuantEcon/cbc_…

Our Quantitative Economics Workshop recently wrapped up in Paris. Content included scientific computing in #Python and dynamic programming using @GoogleOSS JAX. All the materials available on GitHub github.com/jstac/paris_wo…

The PSL Demo Day series has a full schedule this fall! Here's the lineup so that you can mark your calendars (all talks on Mondays at noon ET):

This December, @john_stachurski will provide a sequence of lectures on computational dynamic programming at @dseconf, which will be held at the Australian National University. More information here: dseconf.org #econtwitter #Python

Save the date! On September 10, we'll join @DemocracyLab's first hybrid tech-for-good hackathon. democracylab.org/events/64

Join us for a PSL Demo Day on Monday, July 11. @MaxGhenis will share work on targeted cash assistance and work incentives. Event info: meetup.com/psl-meetup/eve…

Check out the new US population impact pages from @ThePolicyEngine, where you can simulate tax and benefit policies' aggregate effects. blog.policyengine.org/the-new-policy…

This new @cgousu paper from our CEO @MaxGhenis applies the @OpenFisca US microsimulation model to evaluate the work incentive and poverty impacts of a proposed cash assistance program in Cambridge, MA. OpenFisca is the model that powers PolicyEngine US. thecgo.org/research/how-d…

@ThePolicyEngine has been a platform for great policy analysis of the UK for some time. Here they illustrate how their tools allow for detailed analysis of tax and benefit policies in the US.

"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: networks.quantecon.org

I loved the @PSLmodels DC Workshop today. #OpenSource policy demos on Tax- Calculator (@MattHJensen), Cost-of-Capital-Calculstor (@jasondebacker), OG-USA (@RickEcon) and @ThePolicyEngine (@MaxGhenis). Thanks to all participants. blog.pslmodels.org/DC-workshop