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Abstract Details
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Activity Number:
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28
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Type:
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Contributed
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Date/Time:
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Sunday, July 31, 2011 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Government Statistics
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| Abstract - #302354 |
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Title:
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Consideration of Variance Estimation in the Sample Design of the U.S. Census Bureau's Service Annual Survey
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Author(s):
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Grant Degler*+
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Companies:
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U.S. Census Bureau
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Address:
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, , ,
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Keywords:
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sample design ;
variance estimation ;
simulation study ;
outlier detection
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Abstract:
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Approximately every five years, the US Census Bureau selects new samples for its wholesale, retail, and service sector surveys, including the Service Annual Survey (SAS). The SAS provides data on service industries in the United States, giving estimates for total revenue and total expenses along with detailed data, such as product lines, for selected industries. The sampling procedure employs design-based sampling variance formulas to simultaneously meet requirements for coefficients of variation (CV) at many industry levels. In previous sample revisions, relatively little consideration was given to the properties and reliability of the CV estimates. This paper describes a simulation study exploring two approaches to improving those properties for the 2012 Business Sample Revision (BSR-12). The first is a review of the variance estimation method currently used, and the second is a method
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