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Abstract Details
Activity Number:
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577
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Type:
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Contributed
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Date/Time:
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Wednesday, August 3, 2011 : 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 - #303179 |
Title:
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Designing Estimators of Nonsampling Errors in Estimates of Components of Census Coverage Error
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Author(s):
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Mary H. Mulry*+ and Bruce D. Spencer
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Companies:
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U.S. Census Bureau and Northwestern University
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Address:
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2884 Manorwood Trail, Fort Worth, TX, 76109,
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Keywords:
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census omissions ;
census erroneous enumerations ;
net census coverage ;
nonsampling error
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Abstract:
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The 2010 Census Coverage Measurement Program (CCM) plans to use logistic regression models for the correct enumeration rate, data-defined rate, and match rate that will be used in dual system estimation of the population size which then will be used to measure net census coverage error. Recent studies of the error structure of the logistic regression estimator for net error have described how various kinds of sampling and non-sampling errors affect the estimates of the net error as well as estimates of omissions and erroneous enumerations. In addition, the studies have provided decompositions of the sampling and non-sampling errors. These decompositions have been useful in designing a schematic plan for using a simulation methodology to synthesize the effect of the sources of error on the estimates of net coverage error as well as on the estimates of omissions and erroneous enumerations.
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