数据可用性有限的国家按教育水平预测队列生育率:以巴西为例。

IF 2.5 2区 社会学 Q1 DEMOGRAPHY Population Studies-A Journal of Demography Pub Date : 2023-07-01 DOI:10.1080/00324728.2022.2104916
Ewa Batyra, Tiziana Leone, Mikko Myrskylä
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引用次数: 0

摘要

巴西时期的总生育率(PTFR)在2010年降至1.8(受过高等教育的人为1.5)。由于生育时间的变化,PTFR可能会提供生育水平的误导性图片。这些变化对队列总生育率(CTFR)的影响(CTFR是一种不存在节奏扭曲的测量方法)以及对已完成生育率的教育差异的影响仍然未知。由于数据的限制,低收入和中等收入国家的总生育率预测很少。我们使用巴西人口普查间接重建生育率,并预测所有妇女和教育水平的总生育率。四种预测方法表明,CTFR不太可能下降到PTFR的水平。教育对CTFR的影响可能非常明显,介于0.7-0.9之间,比许多具有可比CTFR的高收入国家都要大。我们展示了如何在数据有限的情况下预测总生育率,并呼吁对低收入和中等收入国家完成生育率的教育差异进行更多研究。
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Forecasting of cohort fertility by educational level in countries with limited data availability: The case of Brazil.

The Brazilian period total fertility rate (PTFR) dropped to 1.8 in 2010 (1.5 among those with high education). Due to shifts in fertility timing, the PTFR may provide a misleading picture of fertility levels. The consequences of these changes for the cohort total fertility rate (CTFR)-a measure free from tempo distortions-and for educational differences in completed fertility remain unknown. Due to data limitations, CTFR forecasts in low- and middle-income countries are rare. We use Brazilian censuses to reconstruct fertility rates indirectly and forecast the CTFR for all women and by educational level. Four forecasting methods indicate that the CTFR is unlikely to fall to the level of the PTFR. Educational differences in the CTFR are likely to be stark, at 0.7-0.9, larger than in many high-income countries with comparable CTFRs. We show how the CTFR can be forecasted in settings with limited data and call for more research on educational differences in completed fertility in low- and middle-income countries.

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来源期刊
CiteScore
5.00
自引率
4.20%
发文量
30
期刊介绍: For over half a century, Population Studies has reported significant advances in methods of demographic analysis, conceptual and mathematical theories of demographic dynamics and behaviour, and the use of these theories and methods to extend scientific knowledge and to inform policy and practice. The Journal"s coverage of this field is comprehensive: applications in developed and developing countries; historical and contemporary studies; quantitative and qualitative studies; analytical essays and reviews. The subjects of papers range from classical concerns, such as the determinants and consequences of population change, to such topics as family demography and evolutionary and genetic influences on demographic behaviour.
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