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Estimating Program Impacts for a Subgroup Defined by Post-Intervention Behavior: Why is it a Problem? What is the Solution?

Author

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  • Silvie Colman

Abstract

This brief demonstrates why estimating program effectiveness for an endogenous subgroup leads to compositional differences between the treatment and control groups that may result in biased impact estimates.

Suggested Citation

  • Silvie Colman, "undated". "Estimating Program Impacts for a Subgroup Defined by Post-Intervention Behavior: Why is it a Problem? What is the Solution?," Mathematica Policy Research Reports 9afc2a5c7e17485d87a579c1c, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:9afc2a5c7e17485d87a579c1c686658b
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    File URL: https://www.hhs.gov/ash/oah/sites/default/files/ash/oah/oah-initiatives/assets/estimating_programs_brief.pdf
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    Cited by:

    1. repec:mpr:mprres:7799 is not listed on IDEAS
    2. Brian Goesling & Silvie Colman & Christopher Trenholm & Mary Terzian & Kristin Moore, "undated". "Programs to Reduce Teen Pregnancy, Sexually Transmitted Infections, and Associated Sexual Risk Behaviors: A Systematic Review," Mathematica Policy Research Reports 86f1c46af651471f8bfb97142, Mathematica Policy Research.
    3. Jean Knab & Russell Cole, 2022. "Teen Pregnancy Prevention Evaluation Technical Assistance: A Case Study," Evaluation Review, , vol. 46(1), pages 32-57, February.

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