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Analyses of Public Use Decennial Census Data with Multiply Imputed Industry and Occupation Codes
Nathaniel Schenker, Donald J. Treiman and Lynn Weidman
Journal of the Royal Statistical Society. Series C (Applied Statistics)
Vol. 42, No. 3 (1993), pp. 545-556
Stable URL: http://www.jstor.org/stable/2986331
Page Count: 12
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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.
Journal of the Royal Statistical Society. Series C (Applied Statistics) © 1993 Royal Statistical Society