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标题：Lifetime probabilities of multigenerational caregiving and labor force attachment in Australia
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作者：Elizabeth Anne Bardoel ; Robert Drago
期刊名称：Demographic Research
印刷版ISSN：1435-9871
电子版ISSN：1435-9871
出版年度：2016
卷号：35
页码：1537-1548
DOI：10.4054/DemRes.2016.35.52
出版社：Max Planck Institute for Demographic Research
摘要：Background: An aging population has increased the prevalence of multigenerational caregiving (MGC), defined as unpaid care for an adult while having a dependent child in the household. Policymakers are simultaneously promoting labor force attachment in response to population aging, which may conflict with MGC status. Objective: This research provides estimates of the probability of MGC status and its relationship to labor force attachment. Methods: A balanced panel of respondents from nine waves (2005−2013) of the Household, Income and Labour Dynamics in Australia (HILDA) survey data has been used to estimate point-in-time and lifetime probabilities of MGC status for women and for men, and rates of labor force participation and part-time employment prior to, during, and after MGC status. Results: Few adult women (2.3%) and men (1.1%) report MGC status at any point in time. Estimated lifetime probabilities of MGC status are 57.1% for women and 34.6% for men, and rates are higher for women and men out of the labor force pre-MGC status. Comparing pre- and post-MGC periods, women’s labor force participation rises by an estimated 9 percentage points, mainly due to an increase in part-time employment. Conclusions: A majority of Australian women and many Australian men can expect to take on multigenerational caregiving responsibilities during their lifetime. While long-term labor force participation is not reduced by these responsibilities, they may increase the concentration of women in part-time employment. Contribution: Prior studies capturing MGC status are limited by age, gender, or are not longitudinal and our research note attempts to broaden our understanding of the impact of carer status.
关键词：Australia;caregiving;labor force;survival analysis