A Regression Method for Estimating Population Changes of Local Areas

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Abstract
A regression method is presented in which current sample data and symptomatic information are combined to estimate postcensal populations for local areas. This procedure was tested for counties and states using 1970 Census data, and the resulting estimates were found to be more accurate than estimates computed by standard demographic procedures for the same period. The ratio-correlation estimates were the most accurate series of standard estimates. When this series was added to the set of symptomatic information used in the regression method, further increases in accuracy were obtained.

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