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Final Report on the Effects of Sample Attrition on Estimates of Channeling's Impacts

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Listed:
  • Randall S. Brown
  • Peter A. Mossel
  • Jennifer Schore
  • Nancy Holden
  • Judy Roberts

Abstract

This report results from an investigation of the extent to which differential attrition form the research sample in the Channeling Demonstration might have led to biased estimates of program impact.

Suggested Citation

  • Randall S. Brown & Peter A. Mossel & Jennifer Schore & Nancy Holden & Judy Roberts, 1986. "Final Report on the Effects of Sample Attrition on Estimates of Channeling's Impacts," Mathematica Policy Research Reports 2a2dc2514eb54ab9a94825dbf, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:2a2dc2514eb54ab9a94825dbf3d63338
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    File URL: http://aspe.hhs.gov/daltcp/reports/1986/atritn.pdf
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    References listed on IDEAS

    as
    1. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    2. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    3. Greene, William H, 1981. "Sample Selection Bias as a Specification Error: Comment," Econometrica, Econometric Society, vol. 49(3), pages 795-798, May.
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    Keywords

    channeling long term care;

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