This paper explores the use of instrumental variables analysis with a multisite randomized trial to estimate the effect of a mediating variable on an outcome.
In this commentary published by Spotlight on Poverty, MDRC President Gordon Berlin makes the case for creating a more flexible safety net that continues to reward work when jobs are plentiful, provides employment to poor families when jobs disappear, and begins to address the problem of stagnant wages at the low end of the labor market.
Despite the growing popularity of the use of regression discontinuity analysis, there is only a limited amount of accessible information to guide researchers in the implementation of this research design. This paper provides an overview of the approach and, in easy-to-understand language, offers best practices and general guidance for practitioners.
Using an alternative to classical statistics, this paper reanalyzes results from three published studies of interventions to increase employment and reduce welfare dependency. The analysis formally incorporates prior beliefs about the interventions, characterizing the results in terms of the distribution of possible effects, and generally confirms the earlier published findings.
Planning for the Jobs-Plus Demonstration
Statistical Implications for the Evaluation of Education Programs