泰勒波动比例定律及其相关定律能帮助人口学家选择更合理的多区域人口预测吗?

J. Cohen, H. Brunborg, Meng Xu
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引用次数: 1

摘要

在几种可供选择的人口预测中,哪一种是“最好的”或最合理的?在这里总结的已发表的工作中,我们使用泰勒定律(TL)及其二次推广从挪威统计局(Statistics Norway)的六个备选预测中选择最佳的挪威县人口密度。我们考虑了两个时间尺度:长期(1978-2010年作为2011-2040年预测的历史基础)和短期(2006-2010年作为2011-2015年预测的历史基础)。我们发现,TL选择的“最佳”短期预测比其他四个预测与最近的县密度数据更接近,并反映了目前挪威的国际净移民率高。我们的方法需要用其他数据和人口预测进一步检验。
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Can Taylor’s law of fluctuation scaling and its relatives help demographers select more plausible multi-regional population forecasts?
Which of several alternative population forecasts is the “best” or the most plausible? In published work summarized here, we use Taylor’s law (TL) and its quadratic generalization to select the best among six alternative projections (by Statistics Norway) of Norwegian county population density. We consider two time scales: long term (1978–2010 as the historical basis for projections of 2011–2040) and short term (2006–2010 as the historical basis for projections of 2011–2015). We find that the short-term projections selected as “best” by TL are more closely aligned than the four other projections with the recent county density data, and reflect the current high rate of international net immigration to Norway. Our approach needs to be further tested using other data and demographic forecasts.
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来源期刊
Vienna Yearbook of Population Research
Vienna Yearbook of Population Research Social Sciences-Demography
CiteScore
1.90
自引率
0.00%
发文量
11
期刊介绍: In Europe there is currently an increasing public awareness of the importance that demographic trends have in reshaping our societies. Concerns about possible negative consequences of population aging seem to be the major force behind this new interest in demographic research. Demographers have been pointing out the fundamental change in the age composition of European populations and its potentially serious implications for social security schemes for more than two decades but it is only now that the expected retirement of the baby boom generation has come close enough in time to appear on the radar screen of social security planners and political decision makers to be considered a real challenge and not just an academic exercise.
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