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Methodological Notes Regarding the Impact Analysis

Author

Listed:
  • Peter Z. Schochet
  • Ronald D'Amico
  • Jillian Berk
  • Nathan Wozny

Abstract

In a series of chapters, this report provides an overview of methodological issues pertaining to the impact analysis for the Evaluation of the Trade Adjustment Assistance (TAA) Program.

Suggested Citation

  • Peter Z. Schochet & Ronald D'Amico & Jillian Berk & Nathan Wozny, "undated". "Methodological Notes Regarding the Impact Analysis," Mathematica Policy Research Reports 0b22093bbd87457c9ae4125d0, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:0b22093bbd87457c9ae4125d00c2e0b0
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    File URL: https://www.mathematica.org/-/media/publications/pdfs/labor/taa_methodological_notes.pdf
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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. Sarah Dolfin & Jillian Berk, "undated". "National Evaluation of the Trade Adjustment Assistance Program: Characteristics of Workers Eligible Under the 2002 TAA Program and Their Early Program Experiences," Mathematica Policy Research Reports 100eb8ca0fb944d18c859f715, Mathematica Policy Research.
    3. 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.
    4. Peter Z. Schochet, "undated". "An Approach for Addressing the Multiple Testing Problem in Social Policy Impact Evaluations," Mathematica Policy Research Reports dbb4b45215a740819b08ca578, Mathematica Policy Research.
    5. Steven Glazerman & Dan M. Levy & David Myers, 2003. "Nonexperimental Versus Experimental Estimates of Earnings Impacts," The ANNALS of the American Academy of Political and Social Science, , vol. 589(1), pages 63-93, September.
    6. Peter R. Mueser & Kenneth R. Troske & Alexey Gorislavsky, 2007. "Using State Administrative Data to Measure Program Performance," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 761-783, November.
    7. Peikes, Deborah N. & Moreno, Lorenzo & Orzol, Sean Michael, 2008. "Propensity Score Matching: A Note of Caution for Evaluators of Social Programs," The American Statistician, American Statistical Association, vol. 62, pages 222-231, August.
    8. repec:mpr:mprres:6574 is not listed on IDEAS
    9. repec:mpr:mprres:6097 is not listed on IDEAS
    10. Peter Z. Schochet & John Burghardt & Sheena McConnell, "undated". "Does Job Corps Work? Impact Findings from the National Job Corps Study," Mathematica Policy Research Reports 5067e4907eba4a4881f510080, Mathematica Policy Research.
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    12. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    13. 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.
    14. Alberto Abadie & Guido W. Imbens, 2002. "Simple and Bias-Corrected Matching Estimators for Average Treatment Effects," NBER Technical Working Papers 0283, National Bureau of Economic Research, Inc.
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    16. 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.
    17. 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.
    18. Peter Z. Schochet & John Burghardt & Sheena McConnell, 2008. "Does Job Corps Work? Impact Findings from the National Job Corps Study," American Economic Review, American Economic Association, vol. 98(5), pages 1864-1886, December.
    19. Jose C. Galdo & Jeffrey Smith & Dan Black, 2008. "Bandwidth Selection and the Estimation of Treatment Effects with Unbalanced Data," Annals of Economics and Statistics, GENES, issue 91-92, pages 189-216.
    20. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    21. 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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    Cited by:

    1. Ronald D'Amico & Peter Z. Schochet, "undated". "The Evaluation of the Trade Adjustment Assistance Program: A Synthesis of Major Findings," Mathematica Policy Research Reports c6b34445ad854f5d8178f580f, Mathematica Policy Research.
    2. Jillian Berk, "undated". "Characteristics of Trainees and Training Programs in the Trade Adjustment Assistance (TAA) Program Under the 2002 Amendments," Mathematica Policy Research Reports 39f7a6badb374742bf53b9691, Mathematica Policy Research.
    3. Jillian Berk, 2012. "Understanding the Employment Outcomes of Trainees in the Trade Adjustment Assistance (TAA) Program Under the 2002 Amendments," Mathematica Policy Research Reports 04e20e31b1014fc0baf9c3aa0, Mathematica Policy Research.

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