The $600 cash payments provided by the CARES act prevented joblessness from turning into actual income loss for millions of families. It also gave Americans breathing room to wait for better jobs, rather than settling for bad ones out of desperation.
This guide consolidates learning and spotlights principles, insights, and emerging practices to guide municipal leaders and public-private partnerships interested in designing basic income programs that are ethical, equitable, rigorous, informative, and consequential for local, state and national policymaking.
This benefits protection toolkit is a step-by-step guide to develop and integrate a benefits protection strategy into your Direct Cash Transfer (DCT) program design. This toolkit includes a set of customizable templates, letters, and other tools which should be downloaded and modified for your pilot and local context.
This study explores the causal impacts of income on a rich array of employment outcomes, leveraging an experiment in which 1,000 low-income individuals were randomized into receiving $1,000 per month unconditionally for three years, with a control group of 2,000 participants receiving $50/month.
The paper hopes to stimulate discussions towards an ethical protocol for better practice in BI experiments and provide a useful resource to those working on, or interested in, BI research.
A guide by New America to help cities and states set up cash assistance programs for their residents, based on the Alia Cares platform that the National Domestic Workers Alliance built to run their Coronavirus Cares Fund that provides emergency assistance for home care workers to support them in staying safe and at home to slow the spread of COVID.
The Guaranteed Income Pilots Dashboard is designed to visualize data from 30+ guaranteed income pilots across the United States. This data and testimonies from participants shed light on ways in which unconditional cash is providing people the opportunity, freedom, and resilience to build financial security.
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).
PolicyEngine US is a Python-based microsimulation model of the US tax and benefit system. It models federal individual income taxes (including credits), major benefit programs, and state income taxes (currently in six states). The PolicyEngine US package can be used as a Python package, via the PolicyEngine API, or via the policyengine.org web app.
