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衡量危机时期的生育意愿:以新冠疫情期间的调查数据为例。

Measuring Fertility Intentions During Times of Crisis: An Example Using Survey Data Amid the Covid-19 Pandemic.

机构信息

Department of Sociology, University of Texas-Austin, Austin, TX, USA.

Population Research Center, University of Texas-Austin, Austin, TX, USA.

出版信息

Stud Fam Plann. 2023 Mar;54(1):161-180. doi: 10.1111/sifp.12219. Epub 2023 Feb 4.

Abstract

Fertility intentions-intentions regarding whether and when to have children-predict reproductive health outcomes. Measuring fertility intentions is difficult, particularly during macrostructural shocks, for at least two reasons: (1) fertility intentions may be especially volatile during periods of uncertainty and (2) macrostructural shocks may constrain data collection. We propose a set of indicators that capture how a macrostructural shock directly alters fertility intentions, with a particular focus on the Coronavirus disease 2019 (Covid-19) pandemic. We advance the conceptualization and construct of fertility intentions measures in three ways. First, we demonstrate the value of direct questions about whether women attributed changes in fertility intentions to the pandemic. Second, we highlight the importance of a typology that delineates fertility postponement, advancement, foregoing, and indecision. Third, we demonstrate the importance of incorporating a granular time window within a two-year period to capture short-term changes to fertility intentions. We exemplify the value of our proposed measures using survey data from a probabilistic sample of women aged 18-34 in Pernambuco, Brazil. We discuss the self-reported change in intentions due to Covid in wave 1 as well as panel change across waves. We further ground our contributions by uncovering important variations by social origin and parity.

摘要

生育意愿——关于是否以及何时要孩子的意愿——可以预测生殖健康结果。衡量生育意愿是困难的,尤其是在宏观结构冲击期间,至少有两个原因:(1)在不确定时期,生育意愿可能特别不稳定;(2)宏观结构冲击可能限制数据收集。我们提出了一套指标,用于捕捉宏观结构冲击如何直接改变生育意愿,特别是关注 2019 年冠状病毒病(Covid-19)大流行。我们以三种方式推进生育意愿措施的概念化和构建。首先,我们展示了直接询问女性是否将生育意愿的变化归因于大流行的价值。其次,我们强调了区分生育推迟、提前、放弃和犹豫不决的类型学的重要性。第三,我们展示了在两年内纳入一个细粒度的时间窗口以捕捉生育意愿的短期变化的重要性。我们使用巴西伯南布哥州年龄在 18 至 34 岁的妇女的概率抽样调查数据来举例说明我们提出的措施的价值。我们讨论了第 1 波中由于 Covid 而导致的意图变化以及各波之间的面板变化。我们通过揭示社会出身和生育次数的重要差异进一步证明了我们的贡献。

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