JSM 2005 Online Program

Abstract #304816

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	453
Type:	Contributed
Date/Time:	Wednesday, August 10, 2005 : 2:00 PM to 3:50 PM
Sponsor:	Section on Survey Research Methods
Abstract - #304816
Title:	A Simulation Study of Three Methods of Variance Estimation with Two-stage Cluster Sampling and Hot-deck Imputation
Author(s):	Michael E. Jones*+ and J. Michael Brick and Richard L. Valliant
Companies:	Westat and Westat and University of Michigan
Address:	, Rockville, MD, 20850,
Keywords:	Model-Assisted ; Adjusted Jackknife ; Multiple Imputation ; Simulation ; Cluster Sampling
Abstract:	Hot-deck imputation is widely used to impute for missing responses in sample surveys. The imputed data are treated as if they were observed to compute population estimates. However, account needs to be taken of the imputations in estimating the variances of such estimates. This paper uses simulation to examine the statistical performance of the model-assisted, adjusted jackknife, and multiple imputation approaches for computing approximately unbiased variance estimates that are applicable with complex sample designs in the presence of imputed data. Two-stage cluster samples are repeatedly drawn and different response mechanisms are used to produce missing data. For each realization, the missing data are imputed using weighted hot-decks, and variance estimates are computed using the model-assisted, the adjusted jackknife, and the multiple imputation approaches. The statistical properties of the estimated variances and coverages of confidence intervals are presented.

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