This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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243
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Type:
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Contributed
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Date/Time:
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Monday, August 2, 2010 : 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 - #307555 |
Title:
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Variance Estimation for Decision-Based Estimators with Application to the Annual Survey of Public Employment and Payroll
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Author(s):
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Yang Cheng*+ and Slud Eric and Carma Hogue
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Companies:
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U.S. Census Bureau and University of Maryland and U.S. Census Bureau
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Address:
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4600 Silver Hill Road , Suitland, MD, 20746,
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Keywords:
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survey design ;
decision-based estimation ;
re-sampling method ;
bootstrap ;
mean squared error
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Abstract:
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In 2009, two major surveys in the Governments Division of the Census Bureau were redesigned to reduce sample size, save resources, and improve the precision of the estimates. We developed a new decision-based estimation method in which the collapsing of strata either by state and government type or by small and large size was determined by a series of hypothesis tests of the equality of fitted coefficients in linear relationships between attributes and their values in the previous census year. In this research, we study design-based variance estimation by a bootstrap method, for the new decision-based stratified regression estimates applied to the Annual Survey of Public Employment and Payroll. The bootstrap method, which goes beyond available theory, is validated through a small simulation study. We use the data from the 2007 Census of Governments Employment to illustrate our methods.
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