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Using State Administrative Data to Measure Program Performance

The Review of Economics and Statistics 2007 89(4), 761-783
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, examining both cross-sectional estimates and difference-in-difference estimates. Specification tests suggest that the difference-in-difference estimator may provide a better measure of program impact. We find that propensity-score matching is most effective, but the detailed implementation is not of critical importance. Our analyses demonstrate that existing data can be used to obtain useful estimates of program impact.

Welfare to Temporary Work: Implications for Labor Market Outcomes

The Review of Economics and Statistics 2005 87(1), 154-173
We explore the effects of temporary help employment on welfare recipients' subsequent employment and welfare dynamics. We find that any employment—in temporary help services or other sectors—yields substantial benefits compared to no employment. Although welfare recipients who go to work for temporary help service firms have lower initial wages than those with jobs in other sectors, they experience faster subsequent wage growth. Two years later, they are no less likely to be employed, their wages are close to those of other workers, and they are only slightly more likely to remain on welfare.

The Effects of Welfare‐to‐Work Program Activities on Labor Market Outcomes

Journal of Labor Economics 2006 24(3), 567-607
Studies examining welfare‐to‐work program effectiveness present mixed and sometimes discrepant findings, partly due to research design, data, and methodological limitations. Using administrative data on Missouri and North Carolina welfare recipients, we substantially improve on past estimation approaches to identify the distinct effects of each state’s welfare‐to‐work subprograms—assessment, job search assistance and job readiness training, and more intensive programs designed to augment human capital. More intensive training is associated with greater initial earnings losses but also greater long‐run earnings gains. The negative program impacts we observe in quarters immediately following participation turn positive by the second year after participation.