Publications
The Hamilton Project produces and commissions policy proposals and analyses to promote broad-based economic growth by embracing a significant role for well-designed government policies and public investment.
Posts
Who will care for an aging America? Takeaways from The Hamilton Project’s long-term care event
On September 29, The Hamilton Project hosted an event to discuss policies for expanding access to long-term care. Read the key takeaways.
Health Care
Immigration
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Posts
June 4, 2026
Event recap—Understanding the costs of social media
On June 2, The Hamilton Project hosted an event exploring the costs of social media.
Papers
June 2, 2026
Digital addiction: Evidence and policy implications
Hunt Allcott, Matthew Gentzkow, and Lena Song present evidence of digital addiction among social media users.
Papers
June 2, 2026
Product market traps in social media: Evidence and policy implications
Leonardo Bursztyn, Benjamin Handel, Rafael Jiménez-Durán, and Christopher Roth find evidence that many social media users are caught in a "product market trap."
Posts
March 12, 2026
Event recap—AI + work: Understanding AI’s impact on the labor market
On March 10, the Budget Lab at Yale, The Hamilton Project, and Peterson Institute for International Economics hosted an event on AI’s impact on the labor marke…
Posts
March 10, 2026
Research on AI and the labor market is still in the first inning
Jed Kolko reviews a selection of recent research on AI and the labor market and finds that “all the important questions about AI’s effects on the labor market …
Posts
February 27, 2026
Event recap—AI + work: Building pro-worker AI
On February 25, The Hamilton Project hosted a virtual event with Daron Acemoglu, David Autor, Simon Johnson, and Natasha Sarin to discuss pro-worker AI.
Papers
February 23, 2026
Building pro-worker AI
Daron Acemoglu, David Autor, and Simon Johnson ask: What is pro-worker AI, and how can we build it?
Policy Proposals
December 4, 2025
Artificial intelligence and algorithmic exclusion
Catherine Tucker makes the case for including algorithmic exclusion, defined as failure or harm arising from insufficient input data, in AI policies and regula…
