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Activity Number:
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579
- Sampling, Variance Estimation, and Advancements with Auxiliary Data
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Type:
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Contributed
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Date/Time:
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Wednesday, July 31, 2019 : 2:00 PM to 3:50 PM
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Sponsor:
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Survey Research Methods Section
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Abstract #305157
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Title:
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Generalized Variance Functions for Longitudinal Survey Data
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Author(s):
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Yan Lu* and Guoyi Zhang and Yang Cheng
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Companies:
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University of New Mexico and University of New Mexico and US Census Bureau
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Keywords:
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CPS;
generalized variance functions;
longitudinal generalized variance functions;
design effects;
implementation
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Abstract:
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Many current surveys such as the Current Population Survey (CPS) follow the same households at regular time intervals so that longitudinal quantities such as transitions in employment status and poverty status could be studied. In this research, we propose longitudinal generalized variance functions (LGVFs) to produce convenient estimates of variances by incorporating time effect into modeling. Asymptotic properties of some certain type of estimators are investigated. Implementation of the methods to CPS shows that LGVFs are efficient in producing the standard error estimates.
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Authors who are presenting talks have a * after their name.
