Abstract Details
Activity Number:
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139
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Type:
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Contributed
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Date/Time:
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Monday, August 5, 2013 : 8:30 AM to 10:20 AM
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Sponsor:
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Survey Research Methods Section
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Abstract - #309330 |
Title:
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Variance Estimation for High-Income Tables
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Author(s):
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Wei Qian*+
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Companies:
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Statistics Canada
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Keywords:
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high income tables ;
Longitudinal Administrative Databank ;
percentile group ;
Taylor linearization
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Abstract:
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Statistics Canada produces high income statistics that provide information on demography, taxation, and income for high income populations. These statistics involve estimation of percentiles and quantities in percentile groups using a sample that covers around 1/5 of the Canadian population. For variance estimation, re-sampling methods may take unacceptable time due to the extremely large sample size; linearization cannot be applied directly because of the non-smoothness of the estimators. In this paper we propose a weighted estimating equations approach to derive linear variance estimators. Data from Prince Edward Island (P.E.I) is used to illustrate the results obtained.
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Authors who are presenting talks have a * after their name.
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