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Analyses of Public Use Decennial Census Data with Multiply Imputed Industry and Occupation Codes

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  • Nathaniel Schenker
  • Donald J. Treiman
  • Lynn Weidman

Abstract

This paper gives a brief introduction to multiple imputation for handling non‐response in surveys. We then describe a recently completed project in which multiple imputation was used to recalibrate industry and occupation codes in 1970 US census public use samples to the 1980 standard. Using analyses of data from the project, we examine the utility of analysing a large data set having imputed values compared with analysing a small data set having true values, and we provide examples of the amount by which variability is underestimated by using just one imputation rather than multiple imputations.

Suggested Citation

  • Nathaniel Schenker & Donald J. Treiman & Lynn Weidman, 1993. "Analyses of Public Use Decennial Census Data with Multiply Imputed Industry and Occupation Codes," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 42(3), pages 545-556, September.
  • Handle: RePEc:bla:jorssc:v:42:y:1993:i:3:p:545-556
    DOI: 10.2307/2986331
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    Cited by:

    1. David Fogarty & John Blake, 2002. "Utilising Recent Advancements in Techniques for the Analysis of Incomplete Multivariate Data to Improve the Data Quality Management of Current Academic Research," Quality & Quantity: International Journal of Methodology, Springer, vol. 36(3), pages 277-289, August.

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