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Activity Number:
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105
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Type:
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Contributed
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Date/Time:
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Monday, August 7, 2006 : 8:30 AM to 10:20 AM
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Sponsor:
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Social Statistics Section
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| Abstract - #307187 |
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Title:
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Missing Value Imputation and Weights Adjustment for Binary Variables
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Author(s):
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Mingue Park*+ and David Johnson
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Companies:
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University of Nebraska-Lincoln and University of Nebraska-Lincoln
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Address:
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340 Hardin Hall, N., Lincoln, NE, 68583,
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Keywords:
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hot-deck imputation
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Abstract:
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Missing value imputation for dichotomous variables is considered. In estimating the proportion, two methods, imputation and weight adjustment, are compared. Based on the ratio of variance increase due to imputation to variance decrease due to sample size increase, a statistic that is helpful to decide the use of imputation is introduced. A variance estimator for an estimator of proportion constructed with imputed data is suggested.
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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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