JSM 2005 - Toronto

Abstract #304385

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 147
Type: Contributed
Date/Time: Monday, August 8, 2005 : 10:30 AM to 12:20 PM
Sponsor: Section on Survey Research Methods
Abstract - #304385
Title: An Empirical Comparison of Multivariate Sample Allocation Methods
Author(s): Kimberly Henry and Yahia Ahmed*+
Companies: U.S. Internal Revenue Service and U.S. Internal Revenue Service
Address: 500 North Capitol St, Washington, DC, 20013,
Keywords: stratification ; business surveys ; expected variance
Abstract:

Several multivariate optimal allocation methods that allocate sample sizes in stratified random sampling have been proposed in the literature. In this paper, we compare empirically methods for allocating a fixed total sample size to strata using a number of variables from the Statistics of Income's (SOI) corporate income tax sampling frame. Our comparison is based on the expected variances of the estimates as given by the individual optimal allocation and those given by the proposed methods. In addition, the practical aspect of implementing the computer algorithms into practice is discussed.

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Revised March 2005