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  • 标题:Probabilistic population projections with migration uncertainty
  • 本地全文:下载
  • 作者:Jonathan J. Azose ; Hana Ševčíková ; Adrian E. Raftery
  • 期刊名称:Proceedings of the National Academy of Sciences
  • 印刷版ISSN:0027-8424
  • 电子版ISSN:1091-6490
  • 出版年度:2016
  • 卷号:113
  • 期号:23
  • 页码:6460-6465
  • DOI:10.1073/pnas.1606119113
  • 语种:English
  • 出版社:The National Academy of Sciences of the United States of America
  • 摘要:We produce probabilistic projections of population for all countries based on probabilistic projections of fertility, mortality, and migration. We compare our projections to those from the United Nations’ Probabilistic Population Projections, which uses similar methods for fertility and mortality but deterministic migration projections. We find that uncertainty in migration projection is a substantial contributor to uncertainty in population projections for many countries. Prediction intervals for the populations of Northern America and Europe are over 70% wider, whereas prediction intervals for the populations of Africa, Asia, and the world as a whole are nearly unchanged. Out-of-sample validation shows that the model is reasonably well calibrated.
  • 关键词:Bayesian hierarchical model ; international migration ; predictive distribution ; United Nations ; World Population Prospects
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