A research brief explaining how work requirements in programs like Medicaid and SNAP reduce coverage, increase administrative costs, and push eligible people deeper into poverty without improving employment outcomes.
This provides a comprehensive look at child well-being across the U.S., ranking states and highlighting policy recommendations to improve outcomes for children.
This report explains how states can continue to voluntarily implement key Medicaid and CHIP eligibility and enrollment improvements—originally required by two federal rules—despite a ten-year moratorium enacted in July 2025 that blocks their mandatory enforcement
This report summarizes insights from interviews with seven states on how they are adapting integrated eligibility and enrollment (IEE) systems in response to sweeping federal changes to SNAP and Medicaid under H.R. 1.
A national survey of low-wage workers showing that administrative burdens in SNAP and Medicaid are common and strongly linked to food hardship, healthcare hardship, and chronic illness.
During this event, researchers addressed questions with findings from data collected from state UI agencies across the country and focus groups with women who have experienced unemployment.
This report presents new national survey data showing how benefits cliffs and asset limits negatively affect the economic mobility of low-wage workers in the U.S.
This guide outlines how states can use TANF funds to provide direct cash assistance to families, particularly through flexible mechanisms like nonrecurrent short-term benefits (NRSTs).
The Policy Rules Database (PRD), developed by the Federal Reserve Bank of Atlanta and the National Center for Children in Poverty, consolidates complex rules for major U.S. federal and state benefit programs and tax policies into a standardized, easy-to-use format. This database allows researchers to model public assistance impacts, simulate policy changes, and analyze benefits cliffs across various household scenarios using common rules and language across different programming platforms.
This brief describes the TANF Data Collaborative (TDC), an innovative approach to increasing data analytics capacity at state Temporary Assistance for Needy Families (TANF) agencies.
