Press coverage, columns, and external citations.
Where RISEI Lab research surfaces in policy debate — Wall Street Journal, VoxEU, NBER, and major peer-reviewed venues.
Featured
Financial Times coverage of AI occupational exposure research
FT feature engaging with the Yin, Vu & Persico finding that AI occupational exposure scores diverge widely across frontier models. Full article behind paywall.
Coverage of RISEI Lab AI exposure research
WSJ report on NBER WP #35110 showing AI occupational exposure scores diverge 3.6× across frontier models.
When the ruler made the thing it measures: multi-model evidence on AI occupational exposure
Yin, Vu & Persico extend their NBER findings into a policy column proposing the Adaptive Precision Framework.
Who Uses AI? Platform Selection and the Measurement of Occupational AI Exposure
Yin & Ogut (2026), arXiv:2605.21743. Platform-derived AI exposure scores conflate task applicability with the occupational composition of platform users. Changing only the platform input shifts the post-ChatGPT employment coefficient by a factor of 1.9. Workforce reweighting attenuates estimates 42 to 93 percent.
Automation and Disability: How Functional Limitations Shape Vulnerability
Vu & Yin (2026). Aggregate disability vs. non-disability robot-exposure effects are indistinguishable. Sensory impairments bear 50 percent larger employment losses while cognitive limitations show none.
Working Paper No. 35110
How (un)Stable Are LLM Occupational Exposure Scores? Yin, Vu & Persico (2026).
Time Use in VR and Labor Market Outcomes for Transition-Age Youth
Yin & Guerrero (2026). Published article in Rehabilitation Counseling Bulletin. DOI: 10.1177/00343552261442986
The Labor Market Effects of Subminimum Wage Elimination
Yin, Seo & Vu (2026). First national 15-state analysis of Section 14(c) elimination.
SESP economist Michelle Yin receives $2.98 million grant for disability research
U.S. Department of Education award funding the Maine Pathways to Partnerships model project on transition services and competitive integrated employment for youth with disabilities.
Meet the Expert: Michelle Yin
AIR expert Q&A on AI and the future of work, disability employment, workforce development, and how automation, AI, and broadband access reshape labor market opportunities.
Op-Eds & Commentary
What the pay gap for disabled workers costs them and the nation
Congress Blog op-ed by Yin on the earnings gap between workers with and without disabilities and the aggregate economic cost of unequal pay.
Improving Lives for People with Disabilities in the Workplace and the Marketplace
Commentary on the labor market and consumer market case for disability inclusion, drawing on the Hidden Market and Uneven Playing Field series.
The Bottom Line: Inclusion Matters in the Workplace and the Marketplace
Yin, L. M. (2019), pages 43–48. Business case for disability inclusion in hiring, procurement, and consumer strategy.
Community colleges' learning disability
Opinion piece by Yin & Schneider on graduation rates, student outcomes, and accountability at community colleges.
The One Size Does Not Fit All report (Yin & Shaewitz, 2016) was featured on The Wall Street Journal's Real Time Economics blog. See about for additional press and Capitol Hill briefings.