Abstract
Chester Ponikowski and Erin E. McNulty (2006)
"Use of Administrative Data To Explore Effect of
Establishment Nonresponse Adjustment on the
National Compensation Survey Estimates"
Non-response is a common but undesirable feature of a survey. It may
lead to biases in survey estimates and an increase in survey sampling
variance. Survey practitioners use various techniques to reduce bias
due to non-response. The most common technique is to adjust sampling
weights of responding units to account for non-responding units
within a specified set of weighting classes or cells. In the National Compensation
Survey (NCS) the weighting cells are formed using available
auxiliary information: ownership, industry, and establishment employment
size. In this paper, we explore how effective the formed cells are
in reducing potential bias in the NCS estimates. We use administrative
data to estimate average wages for responding units in the NCS. We
generate and compare full sample wage estimates to estimates based on
responding units with weights adjusted for non-responding units.
Last Modified Date: January 9, 2007
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