Employment uncertainty and fertility intentions: Stability or resilience?

IF 2.5 2区 社会学 Q1 DEMOGRAPHY Population Studies-A Journal of Demography Pub Date : 2022-11-01 Epub Date: 2021-09-01 DOI:10.1080/00324728.2021.1939406
Arianna Gatta, Francesco Mattioli, Letizia Mencarini, Daniele Vignoli
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Abstract

The role of employment uncertainty as a fertility driver has previously been studied with a limited set of constructs, leading to inconclusive results. We address this oversight by considering perceived stability of employment and perceived resilience to potential job loss as two key dimensions of employment uncertainty in relation to fertility decision-making. The present study relies on the 2017 Italian Trustlab survey and its employment uncertainty module. We find that perception of resilience to job loss is a powerful predictor of fertility intentions, whereas perception of employment stability has only a limited impact. The observed relationship between resilience and fertility intentions is robust to the inclusion of person-specific risk attitude and does not depend on the unemployment rate or the share of fixed-term contracts in the area of residence. We conclude that the notion of employment uncertainty includes distinct expectations towards the future, which should be considered separately to understand fertility decision-making.Supplementary material for this article is available at: https://doi.org/10.1080/00324728.2021.1939406.

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就业不确定性与生育意愿:稳定还是弹性?
以前对就业不确定性作为生育驱动因素的作用进行过研究,但研究的结构有限,结果也不确定。我们将就业稳定性感知和潜在失业弹性感知作为与生育决策相关的就业不确定性的两个关键维度,以解决这一疏忽。本研究依赖于 2017 年意大利 Trustlab 调查及其就业不确定性模块。我们发现,对失业恢复力的感知是生育意愿的有力预测因素,而对就业稳定性的感知仅有有限的影响。所观察到的抗风险能力与生育意愿之间的关系对纳入个人特定的风险态度是稳健的,并且不依赖于失业率或居住地区定期合同的比例。我们的结论是,就业不确定性的概念包括对未来的不同预期,在理解生育决策时应将其分开考虑。本文的补充材料见:https://doi.org/10.1080/00324728.2021.1939406。
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来源期刊
CiteScore
5.00
自引率
4.20%
发文量
30
期刊介绍: For over half a century, Population Studies has reported significant advances in methods of demographic analysis, conceptual and mathematical theories of demographic dynamics and behaviour, and the use of these theories and methods to extend scientific knowledge and to inform policy and practice. The Journal"s coverage of this field is comprehensive: applications in developed and developing countries; historical and contemporary studies; quantitative and qualitative studies; analytical essays and reviews. The subjects of papers range from classical concerns, such as the determinants and consequences of population change, to such topics as family demography and evolutionary and genetic influences on demographic behaviour.
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