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The total fertility rate in Germany until 2040: A stochastic principal components projection based on age-specific fertility rates

机译:到2040年德国的总生育率:基于年龄特定生育率的随机主成分预测

摘要

Demographic change is one of the greatest challenges faced by Germany as well as a large part of Europe today. One of the main drivers of this change is the low fertility level, often referred to as the Total Fertility Rate (TFR), since the early 1970s. Therefore, on the one hand, while the total population is expected to decline, on the other hand, the relative share of the elderly in the total population is expected to increase. This poses a great challenge for the society in a wide range of aspects, most notably in the statutory pension fund. Therefore, it is important to gain an understanding of the future demographic development, in our case, the course of the TFR. Official forecasts often assume that the TFR will remain at a low level of 1.4 in the long run, which was already proven wrong in the publication of the 2014 data, which shows a TFR of 1.47. However, separate analysis of age-specific fertility lead to expected increases of the future TFR. This study presents a stochastic projection of the TFR based on econometric-statistical modeling of age-specific fertility rates over principal components. Simulation techniques not only generate the expected future TFR until the year 2040, but also provide point-wise prediction intervals which cover the future TFR with a probability of 95% annually based on the current data set. The age-specific structure of the modeling procedure gives a detailed insight of the future development of the reproductive behavior for women in Germany, and therefore, is very informative with regard to possible political intervention with the scope of increasing the TFR. Moreover, the flexible structure of the model allows more sophisticated estimations of future outcome of certain political measures.
机译:人口变化是德国以及当今欧洲大部分地区面临的最大挑战之一。导致这一变化的主要因素之一是自1970年代初以来的低生育率水平,通常被称为总生育率(TFR)。因此,一方面,预计总人口将下降,另一方面,预计老年人在总人口中的相对比例将增加。这在很多方面对社会构成了巨大的挑战,特别是在法定养老金方面。因此,重要的是要了解未来人口发展情况,在我们的情况下,即TFR的过程。官方预测经常假设TFR从长远来看将保持在1.4的较低水平,这在2014年数据的发布中已被证明是错误的,该数据显示TFR为1.47。但是,单独分析特定年龄的生育率会导致未来TFR的预期增加。这项研究基于对主要组成部分的特定年龄的生育率的计量经济学统计模型,提出了TFR的随机预测。仿真技术不仅可以生成到2040年的预期未来TFR,而且还提供基于当前数据集的逐点预测间隔,该间隔将以每年95%的概率覆盖未来TFR。建模过程的特定年龄结构可以详细了解德国妇女生殖行为的未来发展,因此,在可能的政治干预以及提高总生育率的范围内,这非常有用。此外,该模型的灵活结构允许对某些政治措施的未来结果进行更复杂的估计。

著录项

  • 作者

    Vanella Patrizio;

  • 作者单位
  • 年度 2016
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
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