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Activity Number: 25 - Recent Research on Current Population Survey
Type: Topic Contributed
Date/Time: Sunday, July 29, 2018 : 2:00 PM to 3:50 PM
Sponsor: Survey Research Methods Section
Abstract #329353 Presentation
Title: Domain Estimation and Successive Difference Replication
Author(s): Timothy Trudell* and Khoa Dong and Yang Cheng and Eric Slud
Companies: US Census Bureau and U.S. Census Bureau and US Census Bureau and U.S. Census Bureau
Keywords: Variance Estimation; Systematic Sampling; Successive Difference Replication; Domain Estimation; Weight Replication; Current Population Survey
Abstract:

Successive Difference Replication (SDR) is a variance estimation method originally used for systematic samples, which is applied to complex surveys at the U.S. Census Bureau, including the Current Population Survey. Often we are interested in estimates for domains or subpopulations. In practice, replicate factors are assigned to the full sample. For SDR variance estimation of an estimated domain total, we use a subset of the full replicate factors. The subsetting of the domain on the sorted full data translates to a skip pattern. The effects of different skip patterns on the SDR variance error are examined in this paper via ideal superpopulation models and a simulation study.


Authors who are presenting talks have a * after their name.

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