Family policies and fertility: What do we know from longitudinal research?
DSPI Members to be sent joining link on the day of the event, all others, please register: https://www.eventbrite.co.uk/e/family-policies-and-fertility-what-do-we-know-from-longitudinal-research-tickets-247327221377
Childlessness has been on the raise in many European countries for decades. Compared to other demographic developments, increasing childlessness is probably one of the most ideologically charged topic. Some observers have characterized increasing childlessness as an outgrowth of an ego-centric society, while other scholars have emphasized the individual and societal benefits of a “childfree lifestyle”. This debate raises important social policy relevant research questions on the social, economic and political factors that affect people’s fertility preferences and behaviour. Are fertility preferences stable across the life course? To what degree are they influenced by societal norms and societal pressures? Which role do family policies play for influencing fertility preferences and choices? This presentation gives an overview on trends in childlessness in European countries. Furthermore, it illustrates the potential of longitudinal data to track fertility preferences across the life course and to understand the barriers that exist to realize fertility preferences.
Date:
10 February 2022, 16:00 (Thursday, 4th week, Hilary 2022)
Venue:
Venue to be announced
Speaker:
Prof Michaela Kreyenfeld (Hertie School of Government)
Organising department:
Department of Social Policy and Intervention
Organiser:
Dr Selçuk Bedük (University of Oxford)
Organiser contact email address:
communications@spi.ox.ac.uk
Host:
Dr Selçuk Bedük (University of Oxford)
Part of:
OISP Seminar Series
Booking required?:
Required
Booking url:
https://www.eventbrite.co.uk/e/family-policies-and-fertility-what-do-we-know-from-longitudinal-research-tickets-247327221377
Booking email:
communications@spi.ox.ac.uk
Cost:
FREE
Audience:
Public
Editors:
Lani Fukada,
Upasna Rai