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Activity Number: 139
Type: Contributed
Date/Time: Monday, August 5, 2013 : 8:30 AM to 10:20 AM
Sponsor: Survey Research Methods Section
Abstract - #309203
Title: An Evaluation of Successive Difference Replication Variance Estimation for Systematic Sampling
Author(s): Yao Li*+ and Jean Opsomer
Companies: Colorado State University and Colorado State University
Keywords: systematic sampling ; variance estimation ; replication method

Systematic sampling is often used in surveys due to its implementation simplicity and efficiency. Variance estimation for systematic samples remains problematic, however, since no direct design-based estimators are available. Fay (1995) introduced the Successive Difference Replication (SDR) variance estimator, in the context of variance estimation for the Current Population Survey (CPS) conducted by the US Census Bureau. In this presentation, we report on the results of an evaluation of the statistical properties of SDR variance estimator. We compare this estimator with several alternatives often considered for systematic sampling, including those based on two-per-stratum approximations and simple random sampling.

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