作者:Abel, GJ (Abel, Guy J.)[ 1,2 ] ; Cohen, JE (Cohen, Joel E.)[ 3,4,5,6,7 ]
SCIENTIFIC DATA
卷: 6
文献号: 82
DOI: 10.1038/s41597-019-0089-3
出版年: JUN 17 2019
文献类型:Article; Data Paper
impact factor
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JCR® 类别
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类别中的排序
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JCR 分区
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MULTIDISCIPLINARY SCIENCES
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9/69
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Q1
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数据来自第 2018 版 Journal Citation Reports
出版商NATURE PUBLISHING GROUP, MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND
ISSN: eISSN: 2052-4463
研究领域Science & Technology - Other Topics
Data on stocks and flows of international migration are necessary to understand migrant patterns and trends and to monitor and evaluate migration-relevant international development agendas. Many countries do not publish data on bilateral migration flows. At least six methods have been proposed recently to estimate bilateral migration flows between all origin-destination country pairs based on migrant stock data published by the World Bank and United Nations. We apply each of these methods to the latest available stock data to provide six estimates of five-year bilateral migration flows between 1990 and 2015. To assess the resulting estimates, we correlate estimates of six migration measures from each method with equivalent reported data where possible. Such systematic efforts at validation have largely been neglected thus far. We show that the correlation between the reported data and the estimates varies widely among different migration measures, over space, and over time. We find that the two methods using a closed demographic accounting approach perform consistently better than the four other estimation approaches.
基金资助致谢
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基金资助机构
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授权号
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National Science Foundation of China funding research fund for International Young Scientists
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41650110483
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U.S. National Science Foundation
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DMS-1225529
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