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Activity Number:
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13
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Type:
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Topic Contributed
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Date/Time:
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Sunday, July 29, 2007 : 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 - #310415 |
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Title:
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Small-Area Estimation in Multivariate Surveys
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Author(s):
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Hukum Chandra*+ and Ray Chambers
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Companies:
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University of Southampton and University of Wollongong
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Address:
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Building 39, Southampton, SO1 71BJ, United Kingdom
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Keywords:
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Multivariate Surveys ; Multipurpose sample weights ; MBD approach ; Small Areas
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Abstract:
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Sample surveys are generally multivariate, in the sense that they measure more than one response variable. In theory, each variable can then be assigned an optimal weight for estimation purposes. However, it is often a distinct practical advantage to have a single weight that is used with all variables collected in the survey. This paper describes how such multipurpose sample weights can be constructed when small area estimates of the survey variables are required. The approach is based on the model-based direct (MBD) method of small area estimation described in Chambers and Chandra (2006). Empirical results show that MBD estimators for small areas based on multipurpose weights perform well across a range of variables that are often of interest in business surveys. Furthermore, these results show that the proposed approach is robust to model misspecification.
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