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Old Wine in New Skins: The Sensitivity of Established Findings to New Methods

Author

Listed:
  • E. Michael Foster

    (University of North Carolina at Chapel Hill, emfoster@unc.edu)

  • Elizabeth Wiley-Exley

    (University of North Carolina at Chapel Hill)

  • Leonard Bickman

    (Vanderbilt University)

Abstract

Findings from an evaluation of a model system for delivering mental health services to youth were reassessed to determine the robustness of key findings to the use of methodologies unavailable to the original analysts. These analyses address a key concern about earlier findings—that the quasi-experimental design involved the comparison of two noncomparable groups. The authors employed propensity score methodology to reconsider between-group baseline differences in observed characteristics of participating families. The authors also considered the possible effect of unobserved between-group differences. The data support previous studies that show few differences in outcomes, but the findings are sensitive to unobserved heterogeneity.

Suggested Citation

  • E. Michael Foster & Elizabeth Wiley-Exley & Leonard Bickman, 2009. "Old Wine in New Skins: The Sensitivity of Established Findings to New Methods," Evaluation Review, , vol. 33(3), pages 281-306, June.
  • Handle: RePEc:sae:evarev:v:33:y:2009:i:3:p:281-306
    DOI: 10.1177/0193841X09334028
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    References listed on IDEAS

    as
    1. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    2. Verbeek, Marno & Nijman, Theo, 1992. "Testing for Selectivity Bias in Panel Data Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 33(3), pages 681-703, August.
    3. Lee, Myoung-jae, 2005. "Micro-Econometrics for Policy, Program and Treatment Effects," OUP Catalogue, Oxford University Press, number 9780199267699.
    4. Nijman, T.E. & Verbeek, M.J.C.M., 1992. "Testing for selectivity in panel data models," Other publications TiSEM 7ec34a6c-1d84-4052-971c-d, Tilburg University, School of Economics and Management.
    5. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-209, January.
    6. James J. Heckman & Vytlacil, Edward J., 2007. "Econometric Evaluation of Social Programs, Part I: Causal Models, Structural Models and Econometric Policy Evaluation," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 70, Elsevier.
    7. Donald B. Rubin, 2005. "Causal Inference Using Potential Outcomes: Design, Modeling, Decisions," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 322-331, March.
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