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关于因产前性别选择而导致的女性出生人数缺失的估计。

On the estimation of female births missing due to prenatal sex selection.

机构信息

Institut de recherche pour le développement.

King Abdullah University of Science and Technology.

出版信息

Popul Stud (Camb). 2020 Jul;74(2):283-289. doi: 10.1080/00324728.2020.1762912. Epub 2020 Jun 3.

DOI:10.1080/00324728.2020.1762912
PMID:32489140
Abstract

This research note is prompted by a paper by Kashyap (Is prenatal sex selection associated with lower female child mortality? Population Studies 73(1): 57-78). Kashyap's paper, which provides 40 original estimates of missing female births, relies on an alternative definition of missing female births, leading to estimates of about half the magnitude of other estimates. There appears, therefore, a real need to take stock of the concept of missing female births widely used by statisticians around the world for assessing the demographic consequences of prenatal sex selection. This research note starts with a brief review of the history of the concept and the difference between Amartya Sen's original method and the alternative method found elsewhere to compute missing female births. We then put forward three different arguments (deterministic and probabilistic approaches, and consistency analysis) in support of the original computation procedure based on the number of observed male births and the expected sex ratio at birth.

摘要

这篇研究札记的起因是 Kashyap 的一篇论文(《产前性别选择是否与女婴死亡率降低有关?》,《人口研究》73(1):57-78)。Kashyap 的论文提供了 40 个缺失女婴出生的原始估计值,该论文依赖于对缺失女婴出生的替代定义,导致估计值的幅度大约只有其他估计值的一半。因此,似乎确实有必要对全世界统计学家广泛用于评估产前性别选择对人口统计学影响的缺失女婴出生这一概念进行评估。本研究札记首先简要回顾了这一概念的历史,以及阿马蒂亚·森(Amartya Sen)最初的方法与其他地方发现的计算缺失女婴出生的替代方法之间的差异。然后,我们提出了三个不同的论点(确定性和概率方法,以及一致性分析),以支持基于观察到的男婴出生数量和预期出生性别比的原始计算程序。

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引用本文的文献

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Estimation and probabilistic projection of levels and trends in the sex ratio at birth in seven provinces of Nepal from 1980 to 2050: a Bayesian modeling approach.1980年至2050年尼泊尔七个省份出生性别比水平及趋势的估计与概率预测:一种贝叶斯建模方法。
BMC Public Health. 2022 Feb 19;22(1):358. doi: 10.1186/s12889-022-12693-0.
2
Projecting sex imbalances at birth at global, regional and national levels from 2021 to 2100: scenario-based Bayesian probabilistic projections of the sex ratio at birth and missing female births based on 3.26 billion birth records.从 2021 年到 2100 年,在全球、区域和国家层面预测出生人口性别比失衡:基于 32.6 亿份出生记录,对出生性别比和女性出生漏报进行情景式贝叶斯概率预测。
BMJ Glob Health. 2021 Aug;6(8). doi: 10.1136/bmjgh-2021-005516.
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Probabilistic projection of the sex ratio at birth and missing female births by State and Union Territory in India.印度各邦和联邦属地的出生性别比和女性出生漏报的概率预测。
PLoS One. 2020 Aug 19;15(8):e0236673. doi: 10.1371/journal.pone.0236673. eCollection 2020.