Activity Number:
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454
- Advances in Spatial and Spatio-Temporal Methodology with Applications to Official Statistics
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 2, 2017 : 8:30 AM to 10:20 AM
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Sponsor:
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Government Statistics Section
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Abstract #322778
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View Presentation
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Title:
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Estimating Distributions for Populations Within Nested Geographies with Public-Use Data
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Author(s):
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Matthew Simpson* and Scott H. Holan and Christopher Wikle and Jonathan R Bradley
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Companies:
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University of Missouri - Columbia and University of Missouri and University of Missouri and Florida State University
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Keywords:
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American Community Survey ;
Bayesian ;
Multiscale model ;
Poverty mapping ;
Small area estimation ;
Spatial statistics
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Abstract:
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Statistical agencies often publish multiple data products from the same survey. First, they produce aggregate estimates of various features of the distributions of a several socio-demographic quantities of interest. Often these area-level estimates are tabulated at small geographies. Second, statistical agencies frequently produce weighted public-use microdata samples (PUMS) that provide detailed information of the entire distribution of the same socio-demographic variables. However, the public-use micro areas usually constitute larger geographies in order to protect against the identification of households or individuals included in the sample. These two data products represent a tradeoff in official statistics: publicly available data products can either provide detailed spatial information or detailed distributional information, but not both. We propose a model-based method to combine both two data products to produce estimates of detailed features of a given variable at a high degree of spatial resolution. Our working example uses estimates and PUMS from the American Community Survey to estimate U.S. Census tract-level income distributions and statistics of these distributions.
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Authors who are presenting talks have a * after their name.