This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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568
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 4, 2010 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Survey Research Methods
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Abstract - #307824 |
Title:
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An Application of Calibration Approach in Weight Trimming for Stratum Jumpers
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Author(s):
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Yan K. Liu*+ and Phillip S. Kott and Lance L. Harris
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Companies:
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IRS and RTI International and IRS
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Address:
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P.O.Box 2608, Washington, DC, 20013,
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Keywords:
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Calibration ;
Outlier ;
Statistics of Income ;
Stratum Jumper ;
Weight Trimming
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Abstract:
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The Statistics of Income division of the IRS started a panel sample of individual returns in tax year 1999. This panel sample is also used for cross-sectional estimations, with a small supplemental sample added to it each year. The base-year panel sample was a stratified sample, where stratum boundaries were formed using the return income. Because the income distribution is highly skewed, base weights vary dramatically. This poses a particular problem for returns whose income grows so dramatically that its associated base weight is no longer appropriate for cross-sectional estimations. In addition to stratum jumpers, high-income returns from both new filers and surviving filers in out-years are not well represented by weights based on selection probabilities. In this paper, we consider a calibration approach to adjusting return weights, including trimming for influential stratum jumpers.
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