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Nonexperimental Versus Experimental Estimates of Earnings Impacts

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  • Steven Glazerman
  • Dan M. Levy
  • David Myers

Abstract

Randomized experiments are desirable but not always possible for social policy research, so "quasi-experiments" have become popular alternatives.

Suggested Citation

  • Steven Glazerman & Dan M. Levy & David Myers, "undated". "Nonexperimental Versus Experimental Estimates of Earnings Impacts," Mathematica Policy Research Reports 7c8bd68ac8db47caa57c70ee1, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:7c8bd68ac8db47caa57c70ee11bf988e
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    File URL: http://journals.sagepub.com/doi/abs/10.1177/0002716203254879
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    References listed on IDEAS

    as
    1. LaLonde, Robert J, 1986. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," American Economic Review, American Economic Association, vol. 76(4), pages 604-620, September.
    2. repec:mpr:mprres:2953 is not listed on IDEAS
    3. V. Joseph Hotz & Guido W. Imbens & Jacob A. Klerman, 2000. "The Long-Term Gains from GAIN: A Re-Analysis of the Impacts of the California GAIN Program," NBER Working Papers 8007, National Bureau of Economic Research, Inc.
    4. Arthur J. Reynolds & Judy A. Temple, 1995. "Quasi-Experimental Estimates of the Effects of a Preschool Intervention," Evaluation Review, , vol. 19(4), pages 347-373, August.
    5. repec:mpr:mprres:2956 is not listed on IDEAS
    6. repec:bla:scandj:v:104:y:2002:i:1:p:147-71 is not listed on IDEAS
    7. Espen Bratberg & Astrid Grasdal & Alf Erling Risa, 2002. "Evaluating Social Policy by Experimental and Nonexperimental Methods," Scandinavian Journal of Economics, Wiley Blackwell, vol. 104(1), pages 147-171, March.
    8. Sheena McConnell & Steven Glazerman, 2001. "National Job Corps Study: The Benefits and Costs of Job Corps," Mathematica Policy Research Reports 19ff8678a108410587c5dfad0, Mathematica Policy Research.
    9. Stephen H. Bell & Larry l. Orr & John D. Blomquist & Glen G. Cain, 1995. "Program Applicants as a Comparison Group in Evaluating Training Programs: Theory and a Test," Books from Upjohn Press, W.E. Upjohn Institute for Employment Research, number pacg.
    10. repec:mpr:mprres:2955 is not listed on IDEAS
    11. Heckman, J.J. & Hotz, V.J., 1988. "Choosing Among Alternative Nonexperimental Methods For Estimating The Impact Of Social Programs: The Case Of Manpower Training," University of Chicago - Economics Research Center 88-12, Chicago - Economics Research Center.
    12. V. Joseph Hotz & Guido W. Imbens & Julie H. Mortimer, 1999. "Predicting the Efficacy of Future Training Programs Using Past Experiences," NBER Technical Working Papers 0238, National Bureau of Economic Research, Inc.
    13. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
    14. Thomas Fraker & Rebecca Maynard, 1987. "The Adequacy of Comparison Group Designs for Evaluations of Employment-Related Programs," Journal of Human Resources, University of Wisconsin Press, vol. 22(2), pages 194-227.
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