Coverage Measurement in the 2010 Census (2009) / Chapter Skim
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Executive Summary
Executive Summary
Pages 1-6
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Demographic analysis uses an account ing relation to estimate a population group's size, adding the result of births and immigration, and subtracting those as the result of deaths and emigration. The census coverage measurement programs have historically addressed three primary objectives with varying degrees of emphasis: (1)
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Recommendation 1: The Census Bureau should more completely shift its focus in coverage measurement from that of collecting data and developing statistical models with the goal of estimating net coverage error to that of collecting data and developing statistical models that support the improvement of census processes. To help achieve this new goal, instead of only measuring net census error, the Census Bureau also plans to measure the four components of census coverage error: (1)
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If an alternate design proves preferable for the joint goals of estimating component coverage error and net coverage error estimation, such a design should be used in place of the current sample design. Thorough analysis of data from the coverage measurement survey offers a unique opportunity to learn how census errors occur and how census processes might be changed to reduce them in the future.
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models of match rate and correct enumeration rate to have identi cal variables in the estimation of net coverage error, and research should be carried out to assess whether this benefit outweighs the benefit of selecting variables that are optimal for each of these two logistic regression models. • To effectively blend information from auxiliary sources at vari ous levels of geographic and demographic aggregation, random effects modeling and Bayes' methods also should be examined.
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However, the Census Bureau is focusing instead on producing summary tabulations related to the frequency of the components of coverage error by major census process. Such tabulations will have little value: the complexity of coverage error requires a more sophisticated use of the data through development of statistical models for each component of coverage error.
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