This brief examines how direct cash transfers (DCTs) can improve maternal and infant health outcomes, particularly among low-income and racially marginalized populations, by reducing poverty during pregnancy and early parenthood
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 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 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.
Chapin Hall collaborated with national policy experts, practitioners, and young adults with lived experience of homelessness to create a policy toolkit where tax, public benefits, and educational aid implications for young people participating in Direct Cash Transfer (DCT) programs are laid out in one place.
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.
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.
This playbook offers a comprehensive guide for designing, implementing, and evaluating a guaranteed income program specifically for individuals experiencing homelessness.
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.
This Issue Spotlight explores the challenges that recipients of public benefits programs offering cash assistance encounter in accessing funds through financial products or services, with a specific focus on assistance provided on prepaid cards.
