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Activity Number:
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57
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Type:
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Topic Contributed
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Date/Time:
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Sunday, August 6, 2006 : 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 - #306736 |
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Title:
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An Application of Parametric Bootstrap Method in Small-Area Estimation Problem
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Author(s):
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Huilin Li*+
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Companies:
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University of Maryland
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Address:
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9314 Cherry Hill Road, College Park, MD, 20740,
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Keywords:
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parametric bootstrap ; small area ; confidence intervals ; Fay-Herriot model ; nested error regression model
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Abstract:
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In this paper, we apply the recently developed parametric bootstrap method in constructing confidence intervals of small-area means for two well-known small-area models: Fay-Herriot model and the nested error regression model. Using a Monte Carlo simulation study, we compare our method with rival methods in terms of coverage probabilities and average lengths. We then demonstrate the utility of the parametric bootstrap method by analyzing several real-life datasets.
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