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Brass Growth Balance Method×稳定人口理论×
领域人口学人口学
方法族Process / pipelineRegression model
起源年份19751972
提出者William BrassAlfred J. Lotka; Ansley Coale
类型Death distribution method for estimating the completeness of death registrationMathematical demographic model
开创性文献Preston, S. H., Heuveline, P., & Guillot, M. (2001). Demography: Measuring and Modeling Population Processes. Blackwell. ISBN: 9781557864512Coale, A. J. (1972). The Growth and Structure of Human Populations: A Mathematical Investigation. Princeton University Press. ISBN: 978-0-691-09357-4
别名Brass growth balance equation, GBM, Death registration completeness estimation, Brass Büyüme Dengesi YöntemiLotka-Coale Stable Population Model, Stable Age Distribution Theory, Stationary Population Theory, Kararlı Nüfus Teorisi
相关42
摘要The Brass growth balance method estimates how complete a country's death registration is when vital statistics are incomplete but a census age distribution exists. Developed by William Brass in 1975, it rests on a simple demographic accounting identity applied above every age: in a stable population the rate at which people enter an open-ended age group must equal the population growth rate plus the rate at which they leave it by dying. Plotting the entry rate against the observed death rate above each age yields a straight line whose slope reveals the fraction of deaths actually registered.Stable Population Theory is a mathematical framework in demography that describes the age structure and growth dynamics of a closed population subject to constant age-specific fertility and mortality schedules over a long period. Foundational work by Alfred J. Lotka established the core integral equation in the early twentieth century, and Ansley Coale's 1972 mathematical synthesis became the definitive theoretical reference, showing that any population exposed to invariant vital rates will converge to a unique stable age distribution growing at a fixed intrinsic rate of natural increase.
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ScholarGate方法对比: Brass Growth Balance Method · Stable Population Theory. 于 2026-06-25 检索自 https://scholargate.app/zh/compare