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Using State Administrative Data to Measure Program Performance

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Abstract

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 score matching. In each case, we consider estimates based on levels of post-program earnings as well as difference-in-difference estimates based on comparison of pre and post-program earnings. Specification tests suggest that the difference-in-difference estimator may provide a better measure of program impact. We find that propensity score matching is generally most effective, but the detailed implementation of the method is not of critical importance. Our analyses demonstrate that existing data available at the state level can be used to obtain useful estimates of program impact.

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File URL: http://economics.missouri.edu/working-papers/2003/WP0309_mueser.pdf
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Bibliographic Info

Paper provided by Department of Economics, University of Missouri in its series Working Papers with number 0309.

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Length: 15 pgs.
Date of creation: 20 May 2003
Date of revision:
Handle: RePEc:umc:wpaper:0309

Note: Paper updated as WP 05-20
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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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Keywords: Noexperimental Methods; Matching; Difference-in-Difference;

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