Montalto, C. P. & Sung, J. (1996). Multiple
Imputation in the 1992 Survey of Consumer Finances, Financial Counseling
and Planning, 7, 133-146
Multiple Imputation In The 1992 Survey Of Consumer
Finances
Catherine Phillips Montalto,(1)
The Ohio State University
Jaimie Sung,(2) The Ohio
State University
The 1992 Survey of Consumer Finances consists of five complete data
sets because missing data are multiply imputed. The incidence of missing
data in the 1992 SCF is addressed and illustrates the difficulty of obtaining
financial information from individuals. The value of using all five data
sets and the risk of using only a single data set in empirical research
are explained. Estimates derived separately from each data set are compared
to results using all five data sets to illustrate the extra variability
in the data due to imputation. Researchers are encouraged to use information
from all five data sets in order to make valid inferences.
KEY WORDS: inference, missing data, multiple imputation, repeated-imputation
inference (RII), Survey of Consumer Finances
SAS code
for RRI scalar estimation
SAS code
for RRI regression estimation
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If you use the SAS code files above, you should cite as shown
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Sung, J. & Montalto, C. P. (1996, November). SAS code for
RII scalar estimation [WWW document]. URL http://hec.osu.edu/people/shanna/scf/riiq.htm
Lee, S. & Montalto, C.P. (1996, November). SAS code for RII
regression estimation [WWW document]. URL http://hec.osu.edu/people/shanna/scf/riir.htm
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1. Catherine Phillips Montalto, Assistant Professor,
Consumer Sciences Department, The Ohio State University, Columbus,
OH 43210-1295. Phone: (614) 292-4571. Fax: (614) 292-7536. E-mail:
montalto.2@osu.edu.
2. Jaimie Sung, Graduate Student, Consumer and Textile
Sciences Department, The Ohio State University, Columbus, OH 43210-1295.
Phone: (614) 292-4590. Fax: (614) 292-7536. E-mail: sung.13@osu.edu.