Some Reflections on the Use of Administrative Data to Estimate the Net Impacts of Workforce Programs in Washington State
The purpose of this paper is to reflect on the results, methodology, and processes used in a series of net labor market impact studies done for the State of Washington over the past six years. All of the studies relied on administrative data and used a technique referred to as quasi- experimental evaluation. The program interventions were the federal- and state-funded workforce development programs. The paper sets out eight "reflections" for analysts and policy makers to consider. These reflections identify lessons learned and uncertainties or issues that need more consideration and scrutiny.
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|Date of creation:||Oct 2004|
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- Mueser, Peter R. & Troske, Kenneth & Gorislavsky, Alexey, 2003.
"Using State Administrative Data to Measure Program Performance,"
IZA Discussion Papers
786, Institute for the Study of Labor (IZA).
- Peter R. Mueser & Kenneth R. Troske & Alexey Gorislavsky, 2007. "Using State Administrative Data to Measure Program Performance," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 761-783, November.
- Peter R. Mueser & Kenneth R. Troske & Alexey Gorislavsky, 2006. "Using State Administrative Data to Measure Program Performance," Working Papers 0702, Department of Economics, University of Missouri.
- Peter R. Mueser & Kenneth Troske & Alexey Gorislavsky, 2003. "Using State Administrative Data to Measure Program Performance," Working Papers 0309, Department of Economics, University of Missouri.
- Rajeev H. Dehejia & Sadek Wahba, 1998. "Causal Effects in Non-Experimental Studies: Re-Evaluating the Evaluation of Training Programs," NBER Working Papers 6586, National Bureau of Economic Research, Inc.
- Guido W. Imbens, 2003.
"Nonparametric Estimation of Average Treatment Effects under Exogeneity: A Review,"
NBER Technical Working Papers
0294, National Bureau of Economic Research, Inc.
- Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
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