Montalto & Sung, 1996



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 OhioStateUniversity


Jaimie
Sung,2

The OhioStateUniversity


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



 If you use the
SAS code files above, you should cite as shown below:


 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





Article
in Acrobat format


 





1. Catherine Phillips Montalto,
Associate Professor, Consumer Sciences Department, The Ohio State University,
Columbus, OH 43210-1295. Phone: (614) 292-4571. Fax: 614-688-8133.
E-mail: montalto.2@osu.edu.


2. Jaimie Sung, Assistant
Professor, School of Industrial Management, KoreaUniversity
of Technology and Education. E-Mail: jsung13@chol.com





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