Abstract
Steven Paben, James Buszuwski, Daniel Elmore, Lawrence Ernst, Michael Lettau, Lowell Mason, and Chester Ponikowski (2003)
"Imputation of Benefit Related Data for the National Compensation Survey." Proceedings of the Section on
Survey Research Methods, 2003,
American Statistical Association.
This study examined imputation methods for benefits data collected as part of
the integrated National Compensation Survey (NCS) program, which is conducted by
the Bureau of Labor Statistics (BLS). Among the components of NCS are the
Employment Cost Index (ECI), which measures changes in wages and benefits via a
Laspyres index; the Employer Cost for Employee Compensation (ECEC), which
measures mean employer costs for wages and benefits; and the Employee Benefits
Survey (EBS), which studies the incidence and plan provisions of
employer-provided benefits. The integration of these surveys will allow NCS to
link employer benefit costs to benefit incidence and plan provisions and
calculate new measures, such as cost per participant. As part of this paper, we
revisit the imputation methods used prior to the integration; evaluate their use
as part of NCS; and introduce methods for handling item nonresponse for the new
measures. We suggest regression methods for handling all missing cost related
data and the nearest neighbor within-cell hot deck method for handling all
missing incidence and provisions data.
Last Modified Date: July 16, 2004
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