This paper concludes that the substantial COVID-19 unemployment insurance expansion had limited disincentive effects on job searches, particularly among lower-income individuals, despite high wage replacement rates.
This impact report showcases the office's initiatives and achievements in enhancing state government services through innovative, user-centered approaches.
Errors in administrative processes are costly and burdensome for clients but are understudied. Using U.S. Unemployment Insurance data, this study finds that while automation improves accuracy in simpler programs, it can increase errors in more complex ones.
This case study highlights a collaborative effort to enhance Nevada’s unemployment insurance (UI) program by simplifying claimant-facing communications and improving user experiences through behavioral science and human-centered design.
National Association of State Workforce Agencies (NASWA)
Through deeply reported case studies and insights from focus groups, this report provides an in-depth look at the impact of pandemic-era government spending on families.
This publication shares ten ways states can improve start-to-finish customer experience for unemployment insurance claimants. These approaches can increase overall equitable access and system integrity for UI administration.
Learn how to use generative AI to quickly create unemployment insurance translations that are accurate, easy to understand, and tailored to your state.
In December 2024, the Digital Benefits Network released an updated open dataset on authentication and identity proofing requirements across various public benefits applications to highlight best practices and areas for improvement in identity management.
