Issue Areas
The Washington Center for Equitable Growth is engaged in an array of issues to advance evidence-based ideas and policies that promote strong, stable, and broad-based economic growth.
115 Results
What Work Does Generative AI Do? (opens in a new tab)
Working Papers Sep 8, 2026
We measure how workers use genAI for their jobs in a nationally representative survey linking genAI adoption to detailed occupations and tasks. Our data provide the first task-level genAI adoption…
The Terms and Conditions of Generative AI (opens in a new tab)
Working Papers Aug 20, 2026
Generative AI raises pressing questions for myriad doctrinal areas. Policymakers and scholars have responded rapidly, devoting substantial attention to these difficult legal and policy questions. But, as a practical matter,…
Barriers to Benefits: Unemployment Insurance Take-Up and Labor Market Effects (opens in a new tab)
Working Papers May 19, 2026
Unemployment insurance (UI) take-up is relatively low in the United States. We implement a large-scale field experiment among 50,000 likely unemployed individuals to study the causes and labor supply implications…
AI exposure by U.S. occupations and work tasks and the effect on wages (opens in a new tab)
Working Papers Oct 23, 2025
This analysis of labor market AI exposure builds on previous work from the Pew Research Center and the AI firm Anthropic as well as Equitable Growth’s own job quality series,…
The Benefits of Unemployment Insurance For Marginally Attached Workers (opens in a new tab)
Working Papers Oct 21, 2025
Existing research consistently finds that UI benefits delay job finding with limited effects on job quality, but focuses on changes in unemployment insurance (UI) generosity while holding fixed access to…
Extracting O*NET Features from the NLx Corpus to Build Public Use Aggregate Labor Market Data (opens in a new tab)
Working Papers Oct 1, 2025
Data from online job postings are difficult to access and are not built in a standard or transparent manner. Data included in the standard taxonomy and occupational information database (O*NET)…
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