We provide free, open source software to compute the impact of public policy. See our global account @ThePolicyEngine and UK account @PolicyEngineUK.
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Joined January 2023
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Each bar is one assumption's worth, from the Berkeley assumptions to the Hoover assumptions. The calculator applies each team's assumptions to the same roster, so its figures differ a little from the published ones. Try it: policyengine.org/us/californ…
Estimates for Prop 40, the 2026 Billionaire Tax Act, run from ~$100B in revenue (Galle, Gamage, Saez & Shanske) to a −$39B mean net present value (Jaros & Rauh). Our open calculator splits the gap by assumption.
Webinar Fri Oct 30, noon PT: us06web.zoom.us/meeting/regi…
Five years ago today PolicyEngine launched in the UK to democratize evidence-based policy. PolicyEngine US followed in 2022. Anyone can change a federal or state tax or benefit rule and see what it means for their household and the country.
Thanks to all who build and use it.
Google's Gemini 4 Argon is on PolicyBench: 88.7% of tax and benefit answers within $1, with no tools, the highest within-$1 rate of any Gemini model on the board. Meta's Muse Spark 1.3 joins too, at 87.2%. GPT-6 Sol still leads all 50 at 95.2%.
Meta’s Muse Wonder is on PolicyBench, the first Meta model on the board: 90.1% of tax and benefit answers within $1, with no tools. Give near misses partial credit and only GPT-6 Sol and Claude Opus 5.5 do better. GPT-6 Sol still leads all 48 at 95.2%.
Claude Haiku 5.5 is on PolicyBench: 79.6% of tax and benefit answers within $1, with no tools, 4.8 points above Claude Haiku 4.5.
The board forces an answer tool call, which turns Haiku’s thinking off. With the call left to the model, it scores 89.2%, which would rank #10. GPT-6 Sol still leads all 47 at 95.6%.
Four new models on PolicyBench. Claude Sonnet 5.5 lands level with GPT-6 Luna: both get 92.1% of tax and benefit answers within $1, with no tools. GPT-6.1 Sol gets 90.6%, Grok 4.7 88.3% and DeepSeek V4.1 Flash 87.1%. GPT-6 Sol still leads all 46 at 95.0%.
ALT PolicyBench leaderboard, September 30: share of tax and benefit answers within $1, no tools. 1 GPT-6 Sol 95.0%, 2 Claude Opus 5.5 93.7%, 3 GPT-5.6 Sol 93.6%, 4 GPT-6 Luna 92.1%, 5 Claude Sonnet 5.5 92.1% (new), 6 GPT-6 Astra 91.7%, 7 Claude Fable 5.1 90.8%, 8 GPT-6.1 Sol 90.6% (new), 12 Grok 4.7 88.3% (new), 16 DeepSeek V4.1 Flash 87.1% (new), of 46 models.
PolicyBench has a new #1: GPT-6 Sol gets 94.2% of tax and benefit answers within $1 with no tools, ending GPT-5.6 Sol's run at the top since July. Among other models release yesterday, Claude Opus 5.5 enters second at 92.9%, GPT-6 Luna fourth at 91.4%.
policybench.org/notes/2026-0…
This morning, the Census announced that the SPM child poverty rate was 13.4% in 2025, down 0.1 pp from 2024.
Today we're launching the Child Poverty Impact Dashboard: a tool to analyze how reforms can affect this rate across all 50 states and DC.
policyengine.org/us/child-po…
BLS re-estimates SPM poverty thresholds every year from consumer spending, not inflation. Renter threshold for two adults and two children: +6.3% from 2024 to 2025, more than twice CPI. PolicyEngine now builds and projects those thresholds the way BLS does, from the Consumer Expenditure microdata with BLS's procedure. A calculator and a paper: