Modelling Age Patterns of Internal Migration at the Highest Ages

IF 1.1 Q3 DEMOGRAPHY Spatial Demography Pub Date : 2020-06-25 DOI:10.1007/s40980-020-00062-7
Tom Wilson
{"title":"Modelling Age Patterns of Internal Migration at the Highest Ages","authors":"Tom Wilson","doi":"10.1007/s40980-020-00062-7","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":"7 3","pages":"175-192"},"PeriodicalIF":1.1000,"publicationDate":"2020-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Spatial Demography","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s40980-020-00062-7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"DEMOGRAPHY","Score":null,"Total":0}
引用次数: 4

Abstract

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.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
对最高年龄的国内移民年龄模式进行建模
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Spatial Demography
Spatial Demography DEMOGRAPHY-
自引率
0.00%
发文量
12
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.
期刊最新文献
Geospatial Analysis of the Socioeconomic and Demographic Effects of Historic Coal Mining in the Greater Pittsburgh Region, Pennsylvania, USA Spatial Proximity of Regional Socio-Economic and Demographic Characteristics and Its Spillover Effects on Spousal Violence Against Women in Indian Context Bayesian Multivariate Spatial Modelling of Risky Sexual Behaviour Among Young People in Nigeria The Local Regression Approach as a Tool to Improve Place-Based Policies: The Case of Molise (Southern Italy) Correction: An Example of Combining Expert Judgment and Small Area Projection Methods: Forecasting for Water District Needs
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1