性别选择技术对人口统计学的影响

IF 1.9 3区 经济学 Q2 ECONOMICS
Qi Li, J. Pantano
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引用次数: 0

摘要

在过去的几年里,已经发展出了高度精确的受孕前性别选择方法。鉴于美国人对后代性别多样性的强烈偏好,我们想知道性别选择技术对人口统计学的影响。在获取这种技术的过程中,缺乏空间和时间上的变化,我们估计了一个基于生育历史微数据的生育决策的动态规划模型。我们利用随机性别决定中固有的准实验变异来确定表征后代性别多样性偏好的关键结构参数。然后,我们模拟了该技术的引入。虽然这项技术可以通过让父母有效地达到他们喜欢的性别组合来降低生育率,但它也可以提高生育率。这是因为如果没有这项技术,由于性别不确定,许多父母可能会选择不要第二个孩子。结果表明,这两种效应是同时发生的,但总的来说,性别选择技术最终使已婚妇女的平均家庭规模在稳定状态下减少了不到2%,这比其他方法预测的降幅要小得多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The demographic consequences of sex‐selection technology
Over the last several years, highly accurate methods of sex selection before conception have been developed. Given that strong preferences for sex variety in offspring have been documented for the U.S., we ask what the demographic consequences of sex‐selection technology could be. Lacking variation across space and time in access to this technology, we estimate a dynamic programming model of fertility decisions with microdata on fertility histories. We leverage the quasi‐experimental variation inherent in the random determination of sex to identify the key structural parameter characterizing preferences for sex variety in offspring. We then simulate the introduction of this technology. While this technology can reduce fertility by allowing parents to efficiently reach their preferred sex mix, it could also increase it. This is because without this technology, many parents may opt not to have another baby given the uncertainty about its sex. Results suggest that these two effects operate simultaneously, but on net, sex‐selection technology ends up reducing the average family size among married women by less than 2% in the steady state, a much smaller decline than the one that would be predicted by alternative methods.
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来源期刊
CiteScore
4.10
自引率
5.60%
发文量
28
审稿时长
52 weeks
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