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Activity Number:
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71
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Type:
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Contributed
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Date/Time:
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Sunday, August 2, 2009 : 4:00 PM to 5:50 PM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #304630 |
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Title:
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Measures of Data Utility for Complex Survey Data
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Author(s):
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Kyu-Seong Kim*+
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Companies:
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University of Seoul
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Address:
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13 Siripdae-gil, Dongdaemun-gu, Seoul, International, 130-743, South Korea
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Keywords:
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Original and protected data ; survey weights ; weighted empirical CDF
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Abstract:
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This paper focuses on data utility measure for complex survey data. Two data utility measures based on the weighted empirical distribution functions are proposed, where weighted empirical CDF is estimated from not only original and masking data but also survey weights attached to records. A simulation study conducted on 2006 Korea welfare panel data shows that the existing measures based on IID data are much lower than the proposed measures, which means that the existing measures may report data utility to be much more useful than actual usefulness in case of complex survey data.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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