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Abstract Details
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Activity Number:
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129
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Type:
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Contributed
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Date/Time:
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Monday, August 1, 2011 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #302126 |
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Title:
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A Three-Part Model for Survey Estimates of Proportions
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Author(s):
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Samuel Szelepka*+ and Mark Bauder
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Companies:
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U.S. Census Bureau and U.S. Census Bureau
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Address:
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2605 Fort Farnsworth Rd, Alexandria, VA, 22303,
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Keywords:
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SAHIE ;
Health Insurance ;
Small Area Estimation
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Abstract:
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In the Small Area Health Insurance Estimates program, we produce model based estimates of health insurance coverage for demographic groups within states and counties. In part of the model, we model survey estimates of proportions insured, conditional on the actual proportions. These survey estimates are bounded between zero and one, and have positive probabilities of being exactly zero and exactly one. Thus, assuming normality, or any continuous distribution is questionable. Many survey estimates are one, and some are zero because of high proportions insured and small sample sizes. To handle the boundedness and probability masses at zero and one, we have developed a "three-part" model. We model the probability that a survey estimate is zero, the probability that it is one, and its distribution conditional on not being zero or one. The models for probabilities of zero and one depend on th
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