We use administrative data from Missouri to examine the sensitivity of earnings impact estimates for a job training program based on alternative nonexperimental methods. We consider regression adjustment, Mahalanobis distance matching, and various methods using propensity score matching,...

This paper uses administrative data from Missouri to examine the sensitivity of job training program impact estimates based on alternative nonexperimental methods. In addition to simple regression adjustment, we consider Mahalanobis distance matching and a variety of methods using propensity...

This paper uses administrative data from Missouri to examine the sensitivity of job training program impact estimates based on alternative nonexperimental methods. In addition to simple regression adjustment, we consider Mahalanobis distance matching and a variety of methods using propensity...

This paper uses administrative data from Missouri to examine the sensitivity of job training program impact estimates based on alternative nonexperimental methods. In addition to simple regression adjustment, we consider Mahalanobis distance matching and a variety of methods using propensity...

This paper uses administrative data from Missouri to examine the sensitivity of job training program impact estimates based on alternative nonexperimental methods. In addition to simple regression adjustment, we consider Mahalanobis distance matching and a variety of methods using propensity...

Studies examining the effectiveness of welfare-to-work programs present findings that are mixed and sometimes at odds, in part due to research design, data, and methodological limitations of the studies. We aim to substantially improve on past approaches to estimate program effectiveness by...

Recent welfare reforms are prompting some state and local welfare agencies to use temporary help service firms to help place welfare recipients into jobs. Concerns have arisen that these jobs are more likely to pay low wages, provide fewer benefits, and offer less stability. We explore the...