Overview
Changes in fertility and mortality have affected the number of kin an individual can expect to have alive at different stages of the life course. As children, most of us now know our grandparents, and in our fifties and sixties, many of us have both aged parents and grandchildren alive at the same time. However, these experiences are not universal and kinship networks differ in size and composition; for example, the child of an only child who partners with another such child will have no aunts or uncles or cousins. Events such as the Covid-19 pandemic have overturned many existing assumptions about mortality, fertility and migration, and will have profound effects on population change for years to come.
This research cluster develops understanding of the possible futures of kinship relations in the UK using a variety of methodological tools. We take a comparative perspective by comparing the UK with kinship in Europe and North America. Focusing on formal, multidimensional analysis of kinship helps us answer questions such as those related to the availability of informal care through kin networks. This includes estimates of the numbers likely to enter later life childless, and the impact of different aspects of demographic change on social security, both in terms of public and private provision. At the same time, the results help families better plan their financial futures and manage the associated risks. Additionally, simulation methods help us to gain a richer picture of the short-term future with respect to changing kin relations, and to allow behavioural responses to changing demographic conditions to be investigated.
We also delve into new intergenerational questions that can be asked using new types of 'digital big data'. Digital technologies are embedded in our daily lives, and shape how we interact, access services and communicate, with significant implications for intergenerational processes. These technologies have the potential to strengthen connections between generations by enabling digital connectivity without the need for geographical proximity, and the ability to reduce the burdens of caregiving and support through their greater flexibility.
The knowledge generated is useful to a variety of stakeholders, including government bodies and private industry, for understanding the role of digital technologies in affecting intergenerational processes, and how they can work to potentially create new and more flexible models of care and support. Beneficiaries are likely to include ONS, NRS, NISRA, DWP, local government planners, life and health insurance industry and regulators, the European Commission, Eurostat and DG Employment.
This research project is jointly led by Dr Jason Hilton and Professor Ridhi Kashyap.
Publications & Activities
A mathematical framework for time-variant multi-state kinship modelling
SSD Departmental Seminars (2024). (University of Southampton)
Authors: Barrass Butterick J,
Changes in kinship: Implications for the availability of kin to care
University of Southampton, CPC (2024). Series Number: 74.
Authors: Barrass Butterick J, Evandrou M, Falkingham J, Hilton J,
Combining individual- and population-level data to develop a Bayesian parity-specific fertility projection model
Journal of the Royal Statistical Society Series C: Applied Statistics (2023). 73 (2) 275-297
Authors: Ellison J, Berrington A, Dodd E, Forster J,
Counting kin in an age times stage structured network
European Population Conference 2024 (2024). (Edinburgh)
Authors: Barrass Butterick J, Ellison J, Bijak J, Dodd E, Forster J, Smith P, Hilton J,