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Uncertainty in fertility intentions from a life course perspective: Which life course markers matter?
Author(s) -
AnneKristin Kuhnt,
Lara Minkus,
Petra Buhr
Publication year - 2020
Publication title -
journal of family research
Language(s) - English
Resource type - Journals
ISSN - 2699-2337
DOI - 10.20377/jfr-426
Subject(s) - fertility , life course approach , odds , german , multinomial logistic regression , bivariate analysis , perspective (graphical) , psychology , social psychology , demography , logistic regression , sociology , population , computer science , geography , statistics , mathematics , archaeology , artificial intelligence
Objective: The aim of this study is to extend our knowledge about uncertainty in fertility intentions from a life course perspective. We want to find out if life course markers such as economic circumstances, relationship status, family size, and the so-called “biological clock” (getting older) influence uncertainty in fertility intentions. Uncertainty in fertility intentions is the state in which individuals are not sure whether they will have (more) children. Background: Determining what drives uncertainty in fertility intentions may lead to a better understanding of fertility decision-making and its outcomes. Method: We use German panel data (German Family Panel, pairfam) for three birth cohorts (1971-73, 1981-83, 1991-93), and employ multinomial fixed-effects logit models as well as bivariate analyses based on waves 1 to 11. Results: Uncertainty in fertility intentions is volatile across an individual’s life course, serving as a transitional phase between certainly intending and not intending to have any (more) children. Approaching the end of the reproductive life span (getting older), separating from a partner, having two or more children, and, for men, subjective economic fears increase the odds of being uncertain. Conclusion: By showing that uncertainty in fertility intentions is a volatile concept and that relevant life course markers shape this volatility, we provide new insights into the process of fertility decision-making.

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