Estimating the civilian noninstitutional population for small areas: a modified cohort component approach using public use data

Andrew C. Forrester ()
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Andrew C. Forrester: U.S. Bureau of Labor Statistics

Journal of Population Research, 2024, vol. 41, issue 1, No 5, 31 pages

Abstract: Abstract This article develops a demographic method to estimate the civilian noninstitutional population for counties and county equivalents in the U.S. While these data provide the key sampling frame for national labor market surveys and denominators for labor market prevalence rates, the data are thus far unavailable for small areas. I develop a modified cohort component method to produce novel, monthly estimates of the civilian noninstitutional population for all U.S. counties using publicly available data on population and vital statistics with minimal modifications. The resulting population data may be used by researchers and policymakers to study within-year population dynamics as they relate to economic and demographic factors. I further extend the method to produce short-term population projections that include the most current vital statistics. The method compares favorably to existing annual, midyear estimates by the U.S. Census Bureau, but is prone to error in areas with fewer vital events.

Keywords: Population estimation and projections; Model specification; Small areas (search for similar items in EconPapers)
JEL-codes: C81 J11 J21 (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s12546-023-09322-x

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