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Activity Number:
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537
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Type:
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Contributed
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Date/Time:
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Thursday, August 10, 2006 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #306443 |
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Title:
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Interval Estimation in Small-Area Problems
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Author(s):
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Snigdhansu Chatterjee*+ and Partha Lahiri and Huilin Li
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Companies:
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University of Minnesota and University of Maryland and University of Maryland
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Address:
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School of Statistics, Minneapolis, MN, 55455,
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Keywords:
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small area ; interval estimation ; mixed effects ; parametric bootstrap ; coverage accuracy
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Abstract:
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In typical small area problems, variability is most often characterized by mean squared error. The naive interval estimate constructed using the mean squared error has several shortcomings, and many attempts have been made to improve its coverage accuracy. We propose a different interval estimation technique that does not involve the mean squared error, and has high coverage accuracy.
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