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Estimating Missing Values from the General Social Survey: An Application of Multiple Imputation


  • David A. Penn


Most researchers who use survey data must grapple with the problem of how best to handle missing information. This article illustrates multiple imputation, a technique for estimating missing values in a multivariate setting. Copyright (c) 2007 Southwestern Social Science Association.

Suggested Citation

  • David A. Penn, 2007. "Estimating Missing Values from the General Social Survey: An Application of Multiple Imputation," Social Science Quarterly, Southwestern Social Science Association, vol. 88(2), pages 573-584.
  • Handle: RePEc:bla:socsci:v:88:y:2007:i:2:p:573-584

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    References listed on IDEAS

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    Cited by:

    1. Yiping Wu & Jiangnan Zhu, 2016. "When Are People Unhappy? Corruption Experience, Environment, and Life Satisfaction in Mainland China," Journal of Happiness Studies, Springer, vol. 17(3), pages 1125-1147, June.
    2. Juana Sanchez & Sydney Noelle Kahmann, 2017. "R&D, Attrition and Multiple Imputation in BRDIS," Working Papers 17-13, Center for Economic Studies, U.S. Census Bureau.

    More about this item

    JEL classification:

    • A10 - General Economics and Teaching - - General Economics - - - General
    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods


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