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How do populations aggregate?

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  • Feehan, Dennis
  • Wrigley-Field, Elizabeth

Abstract

BACKGROUND Understanding the relationship between populations at different scales plays an important role in many demographic analyses. OBJECTIVE We show that when a population can be partitioned into subgroups, the death rate for the entire population can be written as the weighted harmonic mean of the death rates in each subgroup, where the weights are given by the numbers of deaths in each subgroup. This decomposition can be generalized to other types of occurrence-exposure rate. Using different weights, the death rate for the entire population can also be expressed as an arithmetic mean of the death rates in each subgroup. CONTRIBUTION We use these relationships as a starting point for investigating how demographers can correctly aggregate rates across non-overlapping subgroups. Our analysis reveals conceptual links between classic demographic models and length-biased sampling. To illustrate how the harmonic mean can suggest new interpretations of demographic relationships, we present as an application a new expression for the frailty of the dying, given a standard demographic frailty model.

Suggested Citation

  • Feehan, Dennis & Wrigley-Field, Elizabeth, 2020. "How do populations aggregate?," SocArXiv 2fkw3, Center for Open Science.
    • Handle: RePEc:osf:socarx:2fkw3
    DOI: 10.31219/osf.io/2fkw3
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    1. Samuel Preston, 1976. "Family sizes of children and family sizes of women," Demography, Springer;Population Association of America (PAA), vol. 13(1), pages 105-114, February.
    2. Miguel de Carvalho, 2016. "Mean, What do You Mean?," The American Statistician, Taylor & Francis Journals, vol. 70(3), pages 270-274, July.
    3. James W. Vaupel & Trifon Missov, 2014. "Unobserved population heterogeneity," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 31(22), pages 659-686.
    4. James Vaupel & Kenneth Manton & Eric Stallard, 1979. "The impact of heterogeneity in individual frailty on the dynamics of mortality," Demography, Springer;Population Association of America (PAA), vol. 16(3), pages 439-454, August.
    5. Sen, Pranab Kumar, 1987. "What do the arithmetic, geometric and harmonic means tell us in length-biased sampling?," Statistics & Probability Letters, Elsevier, vol. 5(2), pages 95-98, March.
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