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Activity Number: 316
Type: Invited
Date/Time: Tuesday, August 8, 2006 : 2:00 PM to 3:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #305213
Title: Bootstrapping for Variance Estimation in Multilevel Models Fitted to Survey Data
Author(s): Milorad Kovacevic*+ and Rong Huang and Yong You
Companies: Statistics Canada and Statistics Canada and Statistics Canada
Address: 120 Parkdale Ave., Ottawa, ON, K1A0T6, Canada
Keywords: informative design ; multi-stage design ; survey weights ; variance components
Abstract:

For estimation of parameters of a multilevel model fitted to hierarchical survey data, typically the survey weights and their bootstrap replicates are available only for the level-one units, thus making impossible implementation of the estimation methods that require weights at the higher levels. Some approximations are needed. In a simulation study designed according to the Canadian Workplace and Employee Survey, we study the impact of this limitation on the properties of mixed-model parameters estimates and their standard errors estimated by the survey bootstrap method. Several existing methods are compared and alternatives suggested.

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