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Activity Number:
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479
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Type:
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Contributed
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Date/Time:
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Wednesday, August 5, 2009 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #304294 |
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Title:
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Estimation Procedure for New Public Employment Survey Design
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Author(s):
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Yang Cheng*+ and Joseph Barth and Casey Corcoran and Carma Hogue
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Companies:
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U.S. Census Bureau and U.S. Census Bureau and U.S. Census Bureau 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 ; model-based estimator ; regression ; stratification ; optimum allocation
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Abstract:
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The 2009 Public Employment Survey uses a new multi-stage sample method which combines cut-off sampling based on unit size with stratified sampling to reduce sample size, save resources, and improve the precision of the estimates. In this paper, we propose fitting either two separate linear models within size-based strata or one overall, based on the result of a hypothesis test of equality of the model coefficients. We study the variance and other statistical properties of this estimation method. We use data from the 2007 Public Employment Census to compare our method to the previous regression method.
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