Small Area Variance Modeling with Application to County Poverty Estimates from the American Community Survey
نویسندگان
چکیده
Variances in the American Community Survey are estimated using a replicate weight methodology (Fay, 1995). In counties with small sample sizes, the variance estimates of poverty statistics show wide variation as a function of sample size. Generalized Variance Functions (GVF) can be used to smooth out the uncertainty of the design-based variance estimate. We propose incorporating GVFs with small area model techniques to smooth out the variability in counties where the precision of the design-based variance is lacking. These smoothed variances can then be used in the small area models for poverty estimates. keywords: Generalized Variance Functions, small area estimation
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