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Life-course perspective on personality traits and fertility with sequence analysis
The Journal of the Royal Statistical Society, Series A (Statistics in Society) ( IF 1.5 ) Pub Date : 2022-04-27 , DOI: 10.1111/rssa.12832
Letizia Mencarini 1 , Raffaella Piccarreta 2 , Marco Le Moglie 3
Affiliation  

We investigate the link between personality traits (PTs) and fertility, accounting for the possible interplay with other key life course events. Using data from German Socio-Economic Panel survey, we build sequence-type representations of fertility, union and job careers between the ages of 20 and 40. We rely on multichannel sequence analysis (MSA) and on the Partitioning around Medoids algorithm to cluster individuals with similar experiences, and relate clusters to PTs via multinomial regression. We also develop a procedure to apply standard and MSA to truncated trajectories. This enables inclusion of individuals whose trajectories were otherwise observed for a limited age span, notably belonging to younger cohorts. We show that PTs relate to these (portions of) life-course trajectories, of which fertility is only one outcome.

中文翻译:

基于序列分析的人格特质和生育能力的生命历程视角

我们调查了人格特质 (PT) 与生育能力之间的联系,并解释了与其他关键生命历程事件可能的相互作用。使用来自德国社会经济小组调查的数据,我们构建了 20 至 40 岁之间生育、工会和职业生涯的序列类型表示。我们依靠多通道序列分析 (MSA) 和围绕 Medoids 的分区算法来聚类个人具有类似经验,并通过多项式回归将集群与 PT 相关联。我们还开发了一种将标准和 MSA 应用于截断轨迹的程序。这使得能够包含那些在有限的年龄跨度内以其他方式观察到轨迹的个体,特别是属于较年轻的群体。我们表明,PT 与这些(部分)生命历程轨迹有关,生育率只是其中一个结果。
更新日期:2022-04-27
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