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Activity Number:
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222
- Administrative Record Research for the 2020 Census
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Type:
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Topic Contributed
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Date/Time:
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Monday, July 31, 2017 : 2:00 PM to 3:50 PM
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Sponsor:
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Government Statistics Section
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Abstract #323701
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View Presentation
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Title:
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A Comparison of Training Modules for Administrative Records Use in Nonresponse Followup Operations: The 2010 Census and the American Community Survey
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Author(s):
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Hubert Janicki* and Melissa Chow and Moises Yi and Lawrence Warren and Mark Kutzbach
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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 and U.S Census Bureau
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Keywords:
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count imputation ;
administrative records ;
nonresponse ;
American Community Survey
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Abstract:
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While modeling work in preparation for the 2020 Census has shown that administrative records can be predictive of Nonresponse Followup (NRFU) enumeration outcomes, there is scope to examine the robustness of the models by using more recent training data. The models deployed for workload removal from the 2015 and 2016 Census Tests were based on associations of the 2010 Census with administrative records. Training the same models with more recent data from the American Community Survey (ACS) can identify any changes in parameter associations over time that might improve the accuracy of model predictions. Furthermore, more recent training data would allow for the incorporation of new administrative record sources not available in 2010. However, differences in ACS methodology and the smaller sample size may limit its applicability. This paper replicates earlier results and examines model predictions based on the ACS in comparison with NRFU outcomes. The evaluation consists of a comparison of predicted counts and household compositions with actual, 2015 NRFU outcomes. The main findings are an overall validation of the methodology using independent data.
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Authors who are presenting talks have a * after their name.
