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Using Propensity Scoring to Estimate Program-Related Subgroup Impacts in Experimental Program Evaluations

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  • Peter Z. Schochet
  • John Burghardt
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    Abstract

    This article discusses the use of propensity scoring in experimental program evaluations to estimate impacts for subgroups defined by program features and participants' program experiences. The authors discuss estimation issues, provide specification tests, and review an overlooked data collection design—obtaining predictions that program intake staff make about applicants' likely assignments and experiences—that could improve the quality of matched comparison samples. They demonstrate the approach's effectiveness in producing credible subgroup findings using data from Mathematica's Job Corps evaluation.

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    File URL: http://erx.sagepub.com/cgi/reprint/31/2/95
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    Bibliographic Info

    Paper provided by Mathematica Policy Research in its series Mathematica Policy Research Reports with number 5406.

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    Length: 26
    Date of creation: 30 Apr 2007
    Date of revision:
    Handle: RePEc:mpr:mprres:5406

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    Postal: Mathematica Policy Research P.O. Box 2393 Princeton, NJ 08543-2393 Attn: Communications
    Fax: (609) 799-0005
    Web page: http://www.mathematica-mpr.com/
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    Related research

    Keywords: Job Corps; Propensity Scoring; Experimental Evaluations; Specification Tests; Program Impacts;

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    Cited by:
    1. Peter Z. Schochet & Mike Puma & John Deke, 2014. "Understanding Variation in Treatment Effects in Education Impact Evaluations: An Overview of Quantitative Methods," Mathematica Policy Research Reports 8128, Mathematica Policy Research.

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