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Relational Gompertz Fertility Model/Evidence
Method evidence record

Relational Gompertz Fertility Model

The relational Gompertz model expresses any population's cumulative fertility schedule as a simple linear transformation of a fixed standard schedule, after both are mapped through a double-logarithm (gompit) transform. Developed by William Brass and given its widely used standard by Heather Booth, it characterizes the entire age pattern of fertility with just two parameters — α, which shifts the schedule earlier or later, and β, which controls how concentrated or spread out childbearing is. This makes it a robust tool for smoothing, fitting, and especially for correcting and estimating fertility from the limited and error-prone data common in developing countries.

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Brass Relational Gompertz Model of Fertility
Taxonomic method record · regression-model / demography
  • Booth, H. (1984). Transforming Gompertz's function for fertility analysis: The development of a standard for the relational Gompertz function. Population Studies, 38(3), 495–506. · DOI 10.1080/00324728.1984.10410306
  • Preston, S. H., Heuveline, P., & Guillot, M. (2001). Demography: Measuring and Modeling Population Processes. Blackwell. · ISBN 9781557864512
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Often confused withBrass P/F Ratio Methodmachine-suggested · Relational suggestion, not evidence.Same method familyBrass Relational Logit Modelmachine-suggested · Relational suggestion, not evidence.Same method familyCoale-Trussell Modelmachine-suggested · Relational suggestion, not evidence.Used in the same domainTotal Fertility Ratemachine-suggested · Relational suggestion, not evidence.

Evidence status

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Sources

2 recorded citations, copied from the method source record.

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