Abstract
Ken Robertson, Larry Huff, and Albert Tou
(1995) "A Study Of Donor Pools and Imputation Methods For
Missing Employment Data," Proceedings of the Section on
Survey Research Methods, American Statistical Association,
forthcoming.
The Bureau of Labor Statistics Occupational Employment
Statistics (OES) survey is a periodic survey of nonfarm
establishments that collects occupational employment data on
workers by industry. The survey uses a weighting cell
adjustment procedure to adjust for unit nonresponse. Previous
research has shown that this procedure works well with these
data. A weakness of this procedure, as employed in this
survey, is that it does not adjust for unit nonresponse in
three-digit industries that have no responding units. The
cell for the current procedure is, at most, the entire
three-digit SIC within the sampled area.
First we will explore multiple donor pools, by allowing the
donor pool to expand in increments to all areas and multiple
SICs. Next we will apply alternative procedures such as mean
imputation, hot deck (nearest neighbor), and hot deck (random
selection in a cell) to adjust for nonresponse utilizing the
expanded donor pools in the event that the original pool is
empty. The first non-empty pool encountered will be used. The
accuracy of each of these procedures in producing aggregate
level estimates is studied. Of particular interest is the
accuracy of aggregate level estimates that include
three-digit industries having no responding units.
Last Modified Date: July 19, 2008
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