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A Simulation Study to Compare Weighting Methods for Survey Nonresponses in the National Survey of Recent College Graduates

Author

Listed:
  • Amang Sukasih
  • Donsig Jang
  • Sonya Vartivarian
  • Stephen Cohen
  • Fan Zhang

Abstract

Common methods to adjust sampling weights to account for survey nonresponse are the weighting cell technique, response propensity modeling, or a combination of both.

Suggested Citation

  • Amang Sukasih & Donsig Jang & Sonya Vartivarian & Stephen Cohen & Fan Zhang, "undated". "A Simulation Study to Compare Weighting Methods for Survey Nonresponses in the National Survey of Recent College Graduates," Mathematica Policy Research Reports 613f000cac94492f91b53813f, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:613f000cac94492f91b53813f1146dd7
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    File URL: https://www.mathematica.org/-/media/publications/pdfs/simulationstudy.pdf
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    References listed on IDEAS

    as
    1. Czajka, John L, et al, 1992. "Projecting from Advance Data Using Propensity Modeling: An Application to Income and Tax Statistics," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(2), pages 117-131, April.
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