George Mason University
CSI/Statistics Colloquium Series
Seminar Announcement
The Use of Multiple Imputation for Calibration in Public-Use Samples
Nathaniel Schenker
National Center for Health Statistics
ABSTRACT
Every decade, the responses in the
United States census concerning type of
employment are grouped into industry and occupation categories. The
industry and occupation classification schemes are revised for each
census
to portray the current characteristics of the population accurately.
Major
revisions were made for the 1980 census, especially for occupations.
The
result of such revisions has been to make analyses of change in
industry and
occupation structures, and change in the relationship of industry and
occupation to other phenomena, very difficult. In this talk, I will
describe a large project in which multiple imputation, a method for
handling
missing data in surveys, was used to calibrate industry and occupation
codes
in 1970 census public-use samples to the 1980 standard. The talk will
include: (i) a brief introduction to multiple imputation; (ii) a
discussion
of modeling and estimation issues that arose in the census project,
(iii) a
presentation of results from a Monte Carlo study of interval estimates
involving multiply-imputed industry codes, and (iv) some simple
analyses of
the new public-use samples comparing multiple imputation with an
alternative
method.
Friday, November 19, 1999
George W. Johnson Center, Assembly Room B
Seminar at 10:45 a.m.
Refreshments at 10:30 a.m.
For the 1999 Fall Seminar Schedule, go to
http://www.science.gmu.edu/statseminars