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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Sources
- 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
How to cite this page
ScholarGate. (2026, June 22). Brass Relational Gompertz Model of Fertility. ScholarGate. https://scholargate.app/en/demography/relational-gompertz-fertility-model
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Brass P/F Ratio MethodDemography↔ compare
- Brass Relational Logit ModelDemography↔ compare
- Coale-Trussell ModelDemography↔ compare
- Total Fertility RateDemography↔ compare