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Abstract Details
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Activity Number:
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422
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Type:
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Contributed
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Date/Time:
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Tuesday, July 31, 2012 : 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 - #305756 |
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Title:
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Measurement Error on Dual-Frame Estimation
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Author(s):
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Dong Lin*+
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Companies:
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Address:
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5657 Amesbury Drive, Dallas, TX, 75206-3040, United States
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Keywords:
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Measurement Error ;
Dual Frame Estimation ;
Hartley's estimator
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Abstract:
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Since the introduction of dual frame estimators 50 years ago, many dual frame estimators have been developed to estimate the universe mean and total. All the estimators require knowledge of domain identity of items in the sample. In many cases, this information can be obtained from the frames. However, in other cases, this information is not available and can only be obtained from the respondents. In either case, it is possible that the information is erroneous. This measurement error usually results in biased estimation. The topic of our research is to examine how damaging this problem is to Hartley's estimator. We develop a bias correction method to eliminate the bias caused by misclassification. The performance and asymptotic properties of this method are also studied.
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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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