This paper presents findings from an experimental evaluation of Job Corps, the nation’s largest training program for disadvantaged youths. The study used survey data collected over four years, as well as tax data collected over nine years, for a nationwide sample of 15,400 treatments and...

This paper presents findings from an experimental evaluation of Job Corps, the nation’s largest training program for disadvantaged youths. The study used survey data collected over four years, as well as tax data collected over nine years, for a nationwide sample of 15,400 treatments and...

This article discusses the use of propensity scoring in experimental program evaluations to estimate impacts for subgroups defined by program features and participants' program experiences. The authors discuss estimation issues, provide specification tests, and review an overlooked data...

This paper presents findings from an experimental evaluation of Job Corps, the nation’s largest training program for disadvantaged youths. The study uses survey data collected over four years and tax data over nine years on a nationwide sample of 15,400 treatments and controls. The Job Corps...

This article discusses the use of propensity scoring in experimental program evaluations to estimate impacts for subgroups defined by program features and participants' program experiences. The authors discuss estimation issues and provide specification tests. They also discuss the use of an...

Programs using means tests to identify low-income households face a trade-off between promoting access and ensuring program integrity. In the case of the National School Lunch Program, the U.S. Department of Agriculture recently implemented a pilot program to improve the accuracy of the process...

For randomized controlled trials (RCTs) of education interventions, estimates of associations between student and mediating teacher practice outcomes can help examine the extent to which the data support the study's conceptual model. They can also identify mediators most associated with student...

This paper examines both theoretically and empirically whether using ordinary least squares (OLS) multivariate regression models to estimate average treatment effects under experimental designs is justified by the Neyman model for causal inference. The paper finds that estimated standard errors...

This article develops a new approach for calculating appropriate sample sizes for school-based randomized controlled trials (RCTs) with binary outcomes using logit models with and without baseline covariates. The theoretical analysis develops sample size formulas for clustered designs in which...