Abstract #301509

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JSM 2003 Abstract #301509
Activity Number: 363
Type: Contributed
Date/Time: Wednesday, August 6, 2003 : 10:30 AM to 12:20 PM
Sponsor: Section on Survey Research Methods
Abstract - #301509
Title: A Simulation Study of Two Methods of Variance Estimation with Hot Deck Imputation
Author(s): Michael E. Jones*+ and John Michael Brick and Graham Kalton and Richard L. Valliant
Companies: Westat and Westat and Westat and Westat
Address: 108 Aberdeen Rd., Rockville, MD, 20850-3803,
Keywords: model-assisted ; adjusted jackknife ; simulation
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 and adjusted jackknife approaches for computing approximately unbiased variance estimates that are applicable with complex sample designs in the presence of imputed data. Samples are repeatedly drawn and different response mechanisms are used to produce missing data. For each realization, the missing data are imputed using unweighted or weighted hot decks and variance estimates are computed using the model-assisted and the adjusted jackknife approaches. The statistical properties of the estimated variances and estimated coverages of confidence intervals are presented.

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