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Using State Administrative Data to Measure Program Performance

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Abstract

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.

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File URL: http://economics.missouri.edu/working-papers/2007/wp0702_mueser.pdf
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Bibliographic Info

Paper provided by Department of Economics, University of Missouri in its series Working Papers with number 0702.

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Length: 75 pages
Date of creation: 15 Dec 2006
Date of revision:
Publication status: Forthcoming in Review of Economic and Statistics
Handle: RePEc:umc:wpaper:0702

Note: Updated from WP 05-20 (no longer available)
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Postal: 118 Professional Building, Columbia, MO 65211
Phone: (573) 882-0063
Fax: (573) 882-2697
Web page: http://economics.missouri.edu/
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