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Activity Number:
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284
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Type:
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Contributed
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Date/Time:
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Tuesday, August 4, 2009 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #304098 |
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Title:
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Estimating the Variance of Between-Year Change in Domain-Level Totals
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Author(s):
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Kimberly Henry*+ and Valerie Testa and Richard Valliant
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Companies:
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IRS and IRS and University of Michigan
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Address:
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P.O. Box 2608, Washington, DC, 20013-2608,
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Keywords:
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Horvitz-Thompson estimator ; stratified Bernoulli sampling ; poststratification ; Taylor series approximation
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Abstract:
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This paper provides the theory for estimating the variance of the difference in two years' domain-level totals estimated under the stratified Bernoulli sample design. We modify the Henry et al. (2008) variance estimator for estimated change in domain-level totals, for "planned domains," domains that are related to the sample design variables, and "analysis domains," unplanned domains of interest at the analysis stage. Our variance estimator also takes into account three practical problems: a large overlap of units between two years' samples; changing compositions of units across years that produce "stratum jumpers," which are population and sample units that shift across strata from one year to another; and changes in sampling rates across years. These problems affect estimating the covariance term in the variance of the difference.
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