We provide free, open source software to compute the impact of public policy. See our global account @ThePolicyEngine and UK account @PolicyEngineUK.
United States
Joined January 2023
- Tweets567
- Following95
- Followers920
- Likes321
PolicyEngine US retweeted
New from PolicyEngine: AI beliefs — elicited economic parameters from 28 frontier language models, 15 runs each, over 26 US-scoped quantities. Pooled centers, 90% intervals, and run-level data for every cell, with literature review ranges alongside. policyengine.org/ai-beliefs
PolicyEngine US retweeted
1/ We asked 28 frontier LLMs — GPT, Claude, Gemini, Grok, DeepSeek, Qwen, Kimi, GLM, MiniMax — for the same 26 economic parameters, 15 times each. 10,920 elicitations, every prompt and response in a public repo.
The headline: where economics has settled, the models have settled — and where it's still arguing, the models still argue. That unresolved part moves the US optimal-tax answer by about nine points.
policyengine.org/ai-beliefs
PolicyEngine US retweeted
We're at the International Microsimulation Association World Congress in Brussels, 1–3 July. Three talks:
• Maria Juaristi — local microdata calibration with L0 regularisation
• @vahiidahmadi — firm microsimulation + VAT
• @MaxGhenis — hands-on PolicyEngine tutorial
PolicyEngine US retweeted
We added a ton of ingredients to @ThePolicyEngine cauldron last month:
- 1,039 PRs merged (7× April 2025, 2× March 2026)
- 341,318 source-code lines changed
- 19 new repos
Childcare subsidy rules, Forbes 400, better reproducibility - all make our models more accurate & useful.
PolicyEngine US retweeted
If you think LLMs are mostly typing back and forth with chatbots, this post by @PolicyEngineUS is a really helpful worked example on what it looks like to layer agents to collapse 2-3 weeks of work into 90 minutes.
policyengine.org/us/encode-p…
PolicyEngine US retweeted
@MaxGhenis and @ThePolicyEngine team have integrated frontier agentic AI into the most expansive open source microsimulation model of US fiscal policy. AI allows easier use and access as well as automates much of the model creation and maintenance.
youtu.be/Ke_J3pOdL8k?si=in6Q…
PolicyEngine US retweeted
Big thanks to @DTrim_99 & @PolicyEngineUS for crunching the numbers here
"Liberals and lawmakers should treat this as an exercise on what they want their priorities to be with a set amount of funding. If $1.5 trillion in new revenue is raised, Options B and C provide flexibility to pursue other reforms while being capable of reducing the deficit."
PolicyEngine US retweeted
Happy Valentine's Day from PolicyEngine♥️
Happy Valentine's Day! We just launched PolicyEngine's marriage calculator.
Find out if saying "I do" means a bonus or penalty for your household — covers all 50 US states + DC, with breakdowns across taxes, benefits, credits, and healthcare.
Try it: policyengine.org/us/marriage
PolicyEngine US retweeted
Join our webinar today at 1:30PM ET to learn more!
us06web.zoom.us/meeting/regi…
PolicyEngine US retweeted
CEO @MaxGhenis, joined the #PN3PolicyAcademy where he introduced teams to @ThePolicyEngine, a free, open-source platform that enables users to simulate reforms like state #EITCs and analyze how these policies affect household resources. #PolicyImpact #TaxCredits #PolicyDesign
PolicyEngine US retweeted
BREAKING: PolicyEngine's microsimulation model projects a surge in candy consumption in the coming hours.
Happy Halloween! 🎃
PolicyEngine US retweeted
We tested whether Claude Code's multi-agent system could automate policy research workflows.
Three specialized agents handled data fetching, Python scripting, and report generation. Now we're applying these insights to develop a Claude Code plugin.
PolicyEngine US retweeted
A hypothetical single 39-year-old DC resident would benefit from enhanced premium tax credits if they earn between $35k and $80k. They would gain up to $1,648, if they earned $47,100.
From our new @PolicyEngineUS ACA calculator: policyengine.org/us/aca-calc
PolicyEngine US retweeted
Our new ACA calculator shows how extending the enhanced premium tax credits would affect households.
An extreme case: A 64-year-old in Fairbanks, AK would gain $655 in 2026 if they earn $61k, but gain $26,861 if they earn $62k.
Try it here: policyengine.org/us/aca-calc
PolicyEngine US retweeted
Congrats to @pn3policy on launching their new Policy Impact Calculator! @PolicyEngineUS handles the federal and state tax modeling behind the scenes. Great example of research infrastructure enabling better policy decisions for young children and families.
pn3policy.org/policy-impact-…
PolicyEngine US retweeted
We're estimating the effect of @PolicyEngineUS's nonpartisan evidence on legislators' beliefs & voting behavior--and building state legislative district breakdowns of our results.
Here's a mockup (the automated demo is...draft): policyengine.github.io/state…
PolicyEngine US retweeted
Just arrived in Boston for the @NCSLorg Summit. I'm looking forward to speaking to state legislators about a study we @PolicyEngineUS are scoping with @MIT to evaluate the impact of data from our policy simulation models on knowledge & votes.
If you're there, drop by booth 1240!
PolicyEngine US retweeted
The new W&M draft increases the maximum CTC from $2,000 to $2,500 from 2025 to 2028. From 2029 onwards, it then sets it to $2,000, inflation-indexed with a 2024 base year. Applying CBO inflation projections yields:
2029-30: $2,200
2031-33: $2,300
2034-35: $2,400
Chart from @PolicyEngineUS: policyengine.org/us/policy?f…
ALT PolicyEngine chart showing the maximum CTC under current law and the House Ways & Means draft