论文标题

使用贝叶斯分层时间序列模型,全球估计和基于场景的性别比的预测和失踪的女性出生的预测

Global estimation and scenario-based projections of sex ratio at birth and missing female births using a Bayesian hierarchical time series mixture model

论文作者

Chao, Fengqing, Gerland, Patrick, Cook, Alex R., Alkema, Leontine

论文摘要

出生时的性别比(SRB)定义为雄性与女性活产的比例。在过去的几十年中,全球部分地区的SRB失衡是性堕胎的直接结果,这是由于儿子偏好的共存,易于获得的产前性别确定和生育能力下降的技术而驱动的。 SRB不平衡程度的估计和投影由于SRB参考水平的可变性以及与SRB观测值相关的不确定性而变得复杂。我们开发了贝叶斯分层时间序列混合模型,用于1950年至2100年所有国家 /地区的SRB估算和方案预测。我们对SRB区域和国家参考水平进行建模,以及国家参考水平的波动。我们确定有SRB失衡风险的国家,并建模(i)(i)在此类国家的不存在或存在性别比过渡以及(如果存在),(ii)过渡过程。 SRB不平衡的过渡模型捕获了三个阶段(增加,停滞和收敛回到SRB基准)。该模型在完全贝叶斯的方法中确定了具有SRB通胀的统计证据的国家。基于方案的SRB预测基于性别比过渡模型,对处于危险国家的性别比过渡的发生有不同的假设。预测用于量化由于不同情况下的性堕胎而导致的失踪女性出生负担。

The sex ratio at birth (SRB) is defined as the ratio of male to female live births. The SRB imbalance in parts of the world over the past several decades is a direct consequence of sex-selective abortion, driven by the co-existence of son preference, readily available technology of prenatal sex determination, and fertility decline. Estimation and projection of the degree of SRB imbalance is complicated because of variability in SRB reference levels and because of the uncertainty associated with SRB observations. We develop Bayesian hierarchical time series mixture models for SRB estimation and scenario-based projections for all countries from 1950 to 2100. We model the SRB regional and national reference levels, and the fluctuation around national reference levels. We identify countries at risk of SRB imbalances and model both (i) the absence or presence of sex ratio transitions in such countries and, if present, (ii) the transition process. The transition model of SRB imbalance captures three stages (increase, stagnation and convergence back to SRB baselines). The model identifies countries with statistical evidence of SRB inflation in a fully Bayesian approach. The scenario-based SRB projections are based on the sex ratio transition model with varying assumptions regarding the occurrence of a sex ratio transition in at-risk countries. Projections are used to quantify the future burden of missing female births due to sex-selective abortions under different scenarios.

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