Social Science Seminar - Households and Kinship over the Life Cycle

2:30pm - 4:00pm
Room 2408 (via lifts 17-18), 2/F Academic Building

Supporting the below United Nations Sustainable Development Goals:支持以下聯合國可持續發展目標:支持以下联合国可持续发展目标:

We study all households in Sweden using register data on the complete Swedish-born population in 2017. The study takes an individual perspective and maps how the number and the types of household members people live with varies across different ages. We use register data to reconstruct family links, including extended kin such as cousins and grandparents, and compare differences by individuals’ own gender as well as by the gender and lineage of their kin. The results show that Sweden is predominantly a nuclear family society, and that household composition follows the nuclear family life cycle, with the largest households occurring during childhood and the family formation years. We document the extent of complex families in Sweden, though find that these represent a modest share of all household relationships. We document clear gender differences in household composition, which are largest at older ages and in early adulthood. We conclude by reflecting on how our results compare to other times and places.

講者/ 表演者:
Prof Martin KOLK
Associate Professor, Department of Sociology, Stockholm University

 

Martin Kolk is Associate Professor and Docent at the Department of Sociology and SUDA, the Stockholm University Demography Unit, as well as affiliated with Åbo Akademi in Vaasa and the Institute for Future Studies. His research covers intergenerational demography, kinship, economic demography, LGBT demography, and social stratification. Much of his work focuses on the demography of kinship and on economic demography in both contemporary and historical populations. He currently uses linked register and parish data, together with other micro-level sources, to study demographic change from the mid-18th century to the present.

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Host: Prof Cameron CAMPBELL, Chair Professor, Division of Social Science, HKUST
          Prof Jiaxin SHI, Assistant Professor, Division of Social Science, HKUST

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