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Survey Based Estimates of Census Adjustment Factors and its Variances and Covariances - A Monte Carlo Study
Survey Based Estimates of Census Adjustment Factors and its Variances and Covariances - A Monte Carlo Study
RR87-08
Introduction
The Census Bureau is currently evaluating strategies for adjusting the census count for small areas. One of the adjustment strategies being studied is termed the statistical synthetic procedure. This procedure utilizes survey-based estimates of total population by specified (non-administrative) categories to construct census adjustment factors. As studied in Isaki, Diffendal and Schultz (1986), the adjustment factors are applied to Enumeration District (ED) counts of the appropriate category. Several statistical synthetic procedures were constructed and evaluated using four artificial populations as proxies for the 1980 true population counts. The adjustment factors for different synthetic estimators were calculated based on the artificial population counts versus census counts for each category. The census adjustments were at the ED level and the performances of the synthetic estimators were evaluated at state or county level using several measures of improvement.
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Related Information
WORKING PAPER
Statistical Research Reports and Studies
Page Last Revised - October 28, 2021
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