The Temporary Assistance for Needy Families (TANF) Data Collaborative Pilot Initiative is a component of the TANF Data Innovation project. The 30-month pilot offered technical assistance and training to support cross-disciplinary teams of staff at eight state and county TANF programs in the routine use of TANF and other administrative data to inform policy and practice.
PolicyEngine is a nonprofit that provides a free, open-source web app enabling users in the US and UK to estimate taxes and benefits at the household level, while also simulating the effects of policy changes. By combining tax and benefits data, PolicyEngine helps individuals and policymakers better understand the impacts of existing policies and proposed reforms, using microsimulation models built from legislation and enhanced survey data.
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.
While CARES Act benefits themselves have been critical to households, their design and implementation have led to more uncertainty and volatility for lower-income households. This report discusses the financial resilience strategies families used to manage gaps before benefits arrived, in addition to providing recommendations for how benefits can be better designed in the future to fit the financial lives of lower-income households.
California’s SNAP program faced record application volume due to the COVID-19 crisis, and other states must anticipate similar demand. This post summarizes key takeaways from GetCalFresh’s real-time data and client communications, and offers recommendations for how other states can implement effective responses.
