This paper provides a detailed discussion of the theory and practice of modern regression discontinuity. It describes how regression discontinuity analysis can provide valid and reliable estimates of general causal effects and of the specific effects of a particular treatment on outcomes for particular persons or groups.
This paper provides practical guidance for researchers who are designing studies that randomize groups to measure the impacts of educational interventions.
In a speech given at a conference sponsored by the French government on the role of experimental studies in reducing poverty, MDRC President Gordon Berlin described how the results of random assignment studies have acted as powerful levers for changing social policy in the United States.
No universal guideline exists for judging the practical importance of a standardized effect size, a measure of the magnitude of an intervention’s effects. This working paper argues that effect sizes should be interpreted using empirical benchmarks — and presents three types in the context of education research.
In these remarks, delivered at Speaker Nancy Pelosi’s National Summit on America’s Children on May 22, MDRC President Gordon Berlin summarizes rigorous research evidence showing that supplementing the earnings of parents helps raise families out of poverty and improves the school performance of young children.
In his testimony before the House Ways and Means Subcommittee on Income Security and Family Support, MDRC President Gordon Berlin argues that the most direct way to alleviate poverty is to tackle the legacy of falling wages, particularly for men with less education.