对最高年龄的国内移民年龄模式进行建模

IF 1.1 Q3 DEMOGRAPHY Spatial Demography Pub Date : 2020-06-25 DOI:10.1007/s40980-020-00062-7
Tom Wilson
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引用次数: 4

摘要

40多年来,模型迁移年龄表对人口统计学家的一系列应用证明是有价值的。原始的罗杰斯-卡斯特罗曲线随着时间的推移被扩展,包括退休曲线、退休后曲线和学生峰值。由于人口老龄化,人口分析的范围比过去扩大到更高的年龄组,因此模型时间表必须忠实地反映老年人口的迁移模式。最近关于90多岁和100多岁人口内部迁移的数据揭示了几个随着年龄增长流动性上升或下降的例子。本文提出了模型时间表的退休后曲线的另一种规范来反映这种模式。修正后的模型迁移时间表成功地拟合了来自澳大利亚、加拿大和荷兰的内部迁移年龄模式。修订后的时间表在编制人口预测的投入数据和分析延伸至最高年龄的移徙年龄型态方面应是有用的。
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Modelling Age Patterns of Internal Migration at the Highest Ages

Model migration age schedules have proved valuable to demographers for a range of applications for over 40 years. The original Rogers-Castro curve has been extended over time to include a retirement curve, a post-retirement curve, and a student peak. With demographic analyses extending to higher age groups than in the past due to population ageing, it is important for the model schedule to faithfully reflect migration patterns at advanced ages. Recent data on internal migration in the nonagenarian and centenarian ages reveals several examples of rising then falling mobility with increasing age. This paper suggests an alternative specification of the post-retirement curve of the model schedule to reflect this pattern. The modified model migration schedule is successfully fitted to example internal migration age patterns from Australia, Canada and the Netherlands. The modified schedule should prove useful in preparing input data for population projections and analyses of migration age patterns extending to the highest ages.

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来源期刊
Spatial Demography
Spatial Demography DEMOGRAPHY-
自引率
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发文量
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期刊介绍: Spatial Demography focuses on understanding the spatial and spatiotemporal dimension of demographic processes.  More specifically, the journal is interested in submissions that include the innovative use and adoption of spatial concepts, geospatial data, spatial technologies, and spatial analytic methods that further our understanding of demographic and policy-related related questions. The journal publishes both substantive and methodological papers from across the discipline of demography and its related fields (including economics, geography, sociology, anthropology, environmental science) and in applications ranging from local to global scale. In addition to research articles the journal will consider for publication review essays, book reviews, and reports/reviews on data, software, and instructional resources.
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