Founded in 1974, MDRC is committed to improving the lives of people with low incomes. We design promising new interventions, evaluate existing programs, and provide technical assistance to build better programs.
MDRC develops evidence about solutions to some of the nation’s most difficult problems. Explore our projects and variety of products, including publications, videos, podcast episodes, and resources for researchers and practitioners.
In September 2017, MDRC released interim findings from the Paycheck Plus demonstration and evaluation of an enhanced Earned Income Tax Credit for low-wage workers without dependent children in New York City. Here are a few answers to questions we’ve received about the results.
New Approaches to Serving the Lowest-Skilled Students at Community Colleges in Texas and Beyond
Faced with many applicants with very low math skills, community colleges are responding with a variety of reforms, including restricting developmental courses to students with high-school-level skills. This brief provides context for the policy changes and describes the alternatives two colleges offer to those who don’t make the cut.
In this commentary from the final report on the Behavioral Interventions to Advance Self-Sufficiency (BIAS) project, Sheldon Danziger talks about the value of incorporating insights from behavioral science into new system-level interventions when developing policies to help low-income populations.
As organizations increase their use of sophisticated screening and risk assessments in their decision making, the results have the potential to fundamentally change practice, organizational culture, and the structure of work. Implementation researchers can inform the use of predictive analytic tools both before and after their adoption.
Highlights from the Jobs Plus Pilot Program Evaluation
Jobs Plus promotes employment among public housing residents through employment services, rent rule changes that provide incentives to work, and community support for work. Within the first 18 months, all nine public housing agencies in this evaluation had begun structuring their programs, building partnerships, and implementing the model’s core components.
Final Results from the Family Self-Sufficiency Study in New York City
FSS provides case management services and a long-term escrow-savings account to housing-assisted families; an enhanced version also offered short-term cash work incentives. Six-year results of the random assignment evaluation show few significant effects overall for either program. However, the enhanced program increased employment and earnings for participants not working at enrollment.
This grant program funds semester-long paid internships for college juniors and seniors with financial needs. These part-time opportunities, typically with hourly wages of $10-$14, are intended to provide meaningful experiences connected to students’ career interests. Despite some difficulties, many students had highly positive impressions of the program overall.
Interim Findings from the Paycheck Plus Demonstration in New York City
Paycheck Plus offers workers without dependent children an enhanced Earned Income Tax Credit (EITC) worth up to $2,000 per year for three years (four times the current EITC for singles). Results after two years from a random assignment evaluation show that it has increased income and work rates.
Three-Year Impacts from the WorkAdvance Demonstration
WorkAdvance offers training and placement services to help prepare individuals for quality jobs in sectors that have strong local demand and advancement opportunities. In this update on employment and earnings only, the most experienced provider continued to produce substantial impacts on both; one other provider increased earnings for late enrollees.
Machine learning algorithms, when combined with the contextual knowledge of researchers and practitioners, offer service providers nuanced estimates of risk and opportunities to refine their efforts. The first post of a new series, Reflections on Methodology, discusses how MDRC helps organizations make the most of predictive modeling tools.
Encouraging Additional Summer Enrollment (EASE) aims to increase summer enrollment rates among low-income community college students using insights from behavioral science. This infographic describes some of the benefits of summer enrollment, reasons why students may not enroll in summer, and interventions the EASE team designed to address low enrollment rates.
MDRC’s Chicago Community Networks Study explores ways to consider power in networks of neighborhood organizations, how power is configured differently in different Chicago neighborhoods, and how these patterns can help communities respond to local challenges.
Success Academy is a rapidly expanding charter school network in New York City. In this paper, MDRC uses lotteries for the seven Success Academy schools operating during the 2010-2011 school year to estimate the difference in students’ academic achievement caused by Success Academy.
Welfare rolls declined after Temporary Assistance for Needy Families became law in 1996, and there was widespread consensus that its reforms were a bipartisan success story. But the onslaught of the Great Recession exposed serious flaws in the law. This memo describes a two-part solution based on experience and evidence.
Introducing ExCEL P-3, a Study from the Expanding Children’s Early Learning Network
The ExCEL Network, a collaboration of researchers, preschool providers, and local officials, is exploring how benefits of early childhood interventions persist. The ExCEL P-3 project examines whether one preschool program, reinforced by a system-wide alignment of instruction into elementary school, has impacts on a range of skills through third grade.
Insights from Qualitative and Quantitative Analyses of the PACE Center for Girls
Researchers recognize the importance of program culture, but how can it be measured? The Implementation Research Incubator provides an example of a mixed-methods approach that evaluated the experiences of both participants and staff members at a youth program’s multiple sites.
The Detroit Promise allows the city’s high school graduates to attend local colleges tuition-free. To that existing scholarship the Detroit Promise Path adds campus coaches, monthly financial support, enhanced summer engagement, and messages informed by behavioral science. Early findings from the first year are positive.
In the complex high school choice process, families may face an additional layer of decisions if they are considering career and technical education programs, which vary widely in their structure, content, and quality. This issue focus emphasizes the importance of providing families with clear information about how to compare them.
The NYC Change Capital Fund, a donor collaborative, invests in community organizations to help build their data capacity. This brief outlines the challenges and benefits of creating a data infrastructure and the need to help staff members go beyond standard funder reporting practices and begin using data to improve programs.
For 18 years, Howard Bloom, MDRC’s chief social scientist, has led the organization’s development of experimental and quasi-experimental methods for estimating program impacts. In this essay, he reviews some of the lessons he has learned in four decades of research both inside and outside academia.