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.
MDRC’s work can improve policy and practice only if influential people know about it and can easily use it. An important part of making sure that decision-makers hear about what we’ve learned is getting attention in the mainstream and trade press. Here are some of MDRC’s most prominent media mentions from 2017.
Learning from the Chicago Community Networks Study
This report presents findings from the Chicago Community Networks study — one of the most extensive efforts to measure interorganizational partnerships in local neighborhoods. It uses social network analysis and extensive field research to ask how specific patterns of partnership promote better-implemented collaborations that, in turn, can inform public policy.
Assessing an intervention’s effects on multiple outcomes increases the risk of false positives. Procedures that make adjustments to address this risk can reduce power, or the probability of detecting effects that do exist. MDRC’s Reflections on Methodology discusses how to estimate power when making adjustments as well as alternative definitions of power.
Implementation and Early Impacts of the STEP Forward Program
This report presents implementation and interim impact findings from a random assignment evaluation of STEP Forward, a subsidized employment program in San Francisco serving a diverse group of low-income job seekers. In the first year, STEP Forward boosted employment and earnings, which suggests that participants obtained better jobs.
In child support programs, parents must often make complicated decisions with little information in a highly emotional context. The BIAS project, which applied behavioral insights to human services programs, worked with three states to design eight tests focusing on child support order modifications and collection of payments.
Researchers developing behavioral interventions begin by defining a problem, identifying “bottlenecks” that might hamper desired outcomes, and designing and testing possible solutions. In this Expert Commentary from the final report on the Behavioral Interventions to Advance Self-Sufficiency (BIAS) project, Crystal Hall suggests three ideas for expanding the use of this process.
Lawrence Katz explores questions raised by findings from the Behavioral Interventions to Advance Self-Sufficiency (BIAS) project: the potential effect of behavioral nudges on long-term outcomes, determining who responds to behavioral nudges but would not otherwise participate in a program, and moving to higher-intensity efforts when low-cost interventions are not enough.
The Effects of the City University of New York’s Accelerated Study in Associate Programs After Six Years
The City University of New York’s Accelerated Study in Associate Programs (ASAP) is an uncommonly comprehensive and long-term program shown to raise graduation rates among community college students. Following up after six years, MDRC finds that ASAP increases graduation rates and enables some students to earn their degrees sooner.
The SIMPLER framework was developed for the Behavioral Interventions to Advance Self-Sufficiency (BIAS) project ― the first major effort to apply behavioral insights to human services programs in the United States. SIMPLER summarizes several key behavioral concepts that can guide practitioners interested in using behavioral insights to enhance service delivery.
Implementation research on community initiatives should be able to read networks. This means understanding not just the presence or absence of partnerships, but also core patterns of collaboration, the distribution of network power, and the depth of local relationships.
To improve outcomes among high-interest borrowers, policymakers need to understand what is driving usage. This second post in MDRC’s Reflections on Methodology series discusses how a data discovery process revealed clusters of borrowers who differed greatly in the kinds of loans and lenders they used and in their loan outcomes.
Laying the Groundwork for Long-Term Follow-Up in the Mother and Infant Home Visiting Program Evaluation (MIHOPE)
Home visiting provides information, resources, and support to expectant low-income parents and low-income families with young children. This brief summarizes evidence from existing studies on the impact of early childhood home visiting on children 5 and older for four national models of home visiting.
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.
Examining the scholarly literature published since a seminal review in 2000, this working paper discusses the principles that underlie project-based learning, how it has been used in K-12 settings, the challenges teachers have confronted in implementing it, and what is known about its effectiveness in improving students’ learning outcomes.
Housing Choice Vouchers subsidize rent and utilities for homes that families rent from private landlords. The Rent Reform Demonstration is testing an alternative rent policy for voucher recipients. This report describes the new policy, the rationale behind each of its elements, and the way it is being evaluated.
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.