Variable-r in sex ratios: Formulas in honor of Jim Vaupel

IF 2.1 3区 社会学 Q2 DEMOGRAPHY
Vladimir Canudas-Romo, Wen Su, Mike Hollingshaus
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引用次数: 0

Abstract

BACKGROUND Two seminal studies in the 1980s, by Preston and Coale (1982) and Arthur and Vaupel (1984), generalized the Lotka equations developing the variable-r methods. OBJECTIVE Time changes in sex ratios (males:females) are studied from the perspective of the variable-r method to estimate the contributions of fertility, mortality, and net-migration. METHODS The time change in sex ratios can be calculated as a comparison of the growth rates of the sexes. The difference is then decomposed into population composition, and the age-specific components of fertility, mortality, and net migration. Thirteen countries with long historical demographic series are used to illustrate the time trends in sex ratios.
性别比例的变量r:纪念Jim Vaupel的公式
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来源期刊
Demographic Research
Demographic Research DEMOGRAPHY-
CiteScore
3.90
自引率
4.80%
发文量
63
审稿时长
28 weeks
期刊介绍: Demographic Research is a free, online, open access, peer-reviewed journal of the population sciences published by the Max Planck Institute for Demographic Research in Rostock, Germany. The journal pioneers an expedited review system. Contributions can generally be published within one month after final acceptance.
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