Abstract Details
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Activity Number:
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572
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Type:
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Invited
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Date/Time:
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Wednesday, August 7, 2013 : 2:00 PM to 3:50 PM
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Sponsor:
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Social Statistics Section
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| Abstract - #307148 |
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Title:
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Bayesian Record Linkage Models for Census Coverage Measurement Matching
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Author(s):
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Vincent Thomas Mule*+ and Lynn Imel
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Companies:
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U.S. Census Bureau and U.S. Census Bureau
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Keywords:
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record linkage ;
Bayesian ;
Gibbs Sampling ;
Metropolis-Hastings
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Abstract:
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This paper explores using record linkage Bayesian approaches for matching Census Coverage Measurement data to the Decennial Census. The methods proposed in Larsen (2009) will be examined and the methods will be extended to a) allow partial agreement of matching fields and b) account for comparisons of matching fields that are missing due to nonresponse. Additionally implementation of a one-to-one matching constraint will be discussed. The performance of the Bayesian approaches will be examined based on computer matching of the 2010 Census Coverage Measurement data.
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Authors who are presenting talks have a * after their name.
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