俄罗斯联邦选择分娩月份的社会经济决定因素:统计分析

L. Rodionova, E. Kopnova, А. А. Kobtseva
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引用次数: 0

摘要

文章介绍了对决定家庭选择分娩月份的因素进行统计分析的结果。文献综述表明,文化、生物、气候和社会经济等多种因素都会对这些决定产生影响。在文章中,作者重点讨论了社会经济决定因素。在俄罗斯联邦和全世界,出生都有一个稳定的季节性:从 2000 年到 2022 年,大多数孩子都出生在 7 月和 8 月。文章就可能的季节性决定因素提出了一系列假设,并根据俄罗斯国家统计局 "2020 年居民生活条件综合观察 "家庭抽样调查数据和俄罗斯国家统计局 2019-2022 年俄罗斯各地区按月登记的出生数据对这些假设进行了检验。作者利用无序多选 logit 模型估计、聚类分析和相关分析得出的结果表明,选择夏季分娩的月份主要由家庭决定,随着家庭数量的增加,计划在 7 月分娩的孩子更多。在生活质量指标高、城市人口居多和避孕药具使用率高的地区,家庭选择夏季分娩的偏好也在增加。这项工作没有发现母亲年龄和教育程度的影响。当局可利用研究结果制定人口政策领域的有效战略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Socio-Economic Determinants of Choosing the Month of Child Birth in the Russian Federation: Statistical Analysis
The results of a statistical analysis of the factors determining the decisions of families regarding the choice of the month of child birth are presented in the article. A review of the literature shows that a wide range of factors – cultural, biological, climatic and socio-economic – can influence these decisions. In the article, the authors focus on socio-economic determinants. In the Russian Federation, as well as throughout the world, there is a steady seasonality of births: between 2000 and 2022 most children were born in July and August. The article formulates a number of hypotheses regarding possible seasonality determinants, which were tested on the basis of Rosstat data from a sample survey of households «Comprehensive observation of living conditions of the population in 2020» and Rosstat data on registered births by month in Russian regions for 2019–2022. Using unordered multiple choice logit model estimates, cluster analysis and correlation analysis the authors obtained results demonstrating that the choice of summer months for the child birth is determined primarily by household, with the increase of which the birth of a child is more often planned for July. In regions characterized by high rates of quality-of-life indicators, predominantly urban population and a high level of contraceptive use, family preferences in choosing the summer months for child birth are also increasing. The influence of mother's age and education was not identified in the work.The results of the study can be used by the authorities to develop an effective strategy in the field of demographic policy.
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