Abstract #300339

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JSM 2003 Abstract #300339
Activity Number: 419
Type: Contributed
Date/Time: Wednesday, August 6, 2003 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Computing
Abstract - #300339
Title: An Example of the Use of the System for Estimation of Variance due to Nonresponse and Imputation
Author(s): Charles Mitchell*+ and Jean-Francois Beaumont
Companies: Statistics Canada and Statistics Canada
Address: 6-105 Springfield Rd., Ottawa, ON, K1M 1C5, Canada
Keywords: imputation ; nonresponse ; variance ; computation
Abstract:

For most survey samples, if not all, we have to deal with the problem of missing values. The presence of missing values (nonresponse) generally leads to bias and uncertainty in the estimates. However, it is possible to estimate the variance due to nonresponse by assuming that the bias is negligible. In the last decade, many methods were proposed to estimate this variance, and some of these have been implemented in the System for Estimation of Variance due to Nonresponse and Imputation (SEVANI). I will define the problem, describe the methodology that SEVANI is based on, and discuss potential uses of the system. Some examples of how SEVANI could be used are: to help in measuring the quality of estimates, to compare nonresponse treatment strategies, to help allocate resources in a more efficient manner and so that inference is valid in the presence of nonresponse. Lastly, the presentation will focus on an example showing the system in action. This example will show why it is important to calculate the variance due to nonresponse and the consequences of not taking it into consideration.

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