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Abstract Details
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Activity Number:
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397
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 2, 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 - #300914 |
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Title:
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Using Imputation Methods to Improve the American Community Survey Estimates of the Group Quarters Population for Small Geographies
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Author(s):
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Mark Asiala and Michael Beaghen*+ and Alfredo Navarro
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Companies:
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U.S. Census Bureau and U.S. Census Bureau and U.S. Census Bureau
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Address:
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6641 Wakefield Drive, Alexandria, VA, 22307,
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Keywords:
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sample design ;
small area estimation
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Abstract:
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This paper describes the background and methodology of a Census Bureau program under development to improve the American Community Survey (ACS) estimates of the group quarters (GQ) population for small areas. What motivates this work is that while the ACS GQ sample was designed to produce estimates at the state-level, the estimates of the GQ population contribute to ACS estimates of the total resident population for substate areas such as counties and tracts. Consequently, there are small geographies which either do not have GQ sample or have GQ sample that is not representative of the area, which can lead to distorted estimates of characteristics and/or total population for these geographies. The approach taken is to impute whole person records (and weight them appropriately) to GQ facilities which appear on the sampling frame but were not selected into sample.
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