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    Using State Administrative Data to Measure Program Performance

    Mueser, Peter R., 1952-
    Troske, Kenneth R.
    Gorislavsky, Alexey
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    [PDF] UsingStateAdministrativeData.pdf (394.0Kb)
    Date
    2006
    Format
    Working Paper
    Metadata
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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.
    URI
    http://hdl.handle.net/10355/2602
    Part of
    Working papers (Department of Economics);WP 07-02
    Part of
    Economics publications
    Citation
    Department of Economics, 2006
    Rights
    OpenAccess.
    This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.
    Collections
    • Economics publications (MU)

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