This paper lays out a research agenda around worker power and artificial intelligence, distinguishing between the worker-power and labor-demand impacts of AI and formalizing several ways worker power might be affected by the adoption of AI tools in the workplace.
Using survey data linked to administrative earnings records, this study quantifies the relationship between employer age structure and health insurance premiums and explores how public policies affect this relationship.
This paper uses a simulated instrument approach leveraging metro-level variation in EITC exposure to compare labor-supply responses to policy changes between areas with varying levels of dependence on cars for commuting workers.
This paper explores patterns in employment and retirement among older workers during the pandemic, finding that the characteristics that best predicted excess retirement transitions were employment in high-contact occupations and part-time work schedules.