Estimation of the causal effect of a binary treatment on outcomes often requires conditioning on covariates to address selection concerning observed variables. This is not straightforward when one or more of the covariates are measured with error. Here, we present a new semi-parametric estimator...

How well do program participants assess program performance ex-post? In this paper we compare participant evaluations based on survey responses to econometric impact estimates obtained using data from the experimental evaluation of the U.S. Job Training Partnership Act. We have two main...

We present experimental evidence on the effects of four U.S. reemployment programs for youth Unemployment Insurance (UI) recipients during the Great Recession. The three programs that emphasized monitoring and service referrals reduced UI receipt but had minimal effects on employment and...

Estimation of the causal effect of a binary treatment on outcomes often requires conditioning on covariates to address selection concerning observed variables. This is not straightforward when one or more of the covariates are measured with error. Here, we present a new semi-parametric estimator...

This paper examines a broad set of short- and long-term impacts of Individual Placement and Support (IPS) for disability benefit recipients with severe mental disabilities. IPS is a specific intervention that first aims to place an individual in employment and subsequently trains the worker on...

Estimation of the causal effect of a binary treatment on outcomes often requires conditioning on covariates to address selection on observed variables. This is not straightforward when one or more of the covariates are measured with error. Here, we present a new semi-parametric estimator that...

Most strategies for causal inference based on quasi-experimental or observational data critically rely on the assumption of unconfoundedness. If this assumption is suspect, sensitivity analysis can be a viable tool to evaluate the impact of confounding on the analysis of interest. One of the...

This paper forecasts the life-cycle treatment effects on health of a high-quality early childhood program. Our predictions combine microsimulation using non-experimental data with experimental data from a midlife long-term follow-up. The follow-up incorporated a full epidemiological exam. The...

We present experimental evidence on the effects of four U.S. reemployment programs for youth Unemployment Insurance (UI) recipients during the Great Recession. The three programs that emphasized monitoring and service referrals reduced UI receipt but had minimal effects on employment and...