A preview of this full-text is provided by Springer Nature.
Content available from Review of Economics of the Household
This content is subject to copyright. Terms and conditions apply.
Rev Econ Household (2023) 21:815–853
https://doi.org/10.1007/s11150-022-09633-7
Wealth inequalities among seniors: the role of marital
histories across cohorts
Carole Bonnet1●Enrica Maria Martino1,2 ●Benoît Rapoport1,3 ●Anne Solaz 1
Received: 6 April 2021 / Accepted: 15 November 2022 / Published online: 9 December 2022
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature
2022
Abstract
Wealth accumulation is the result of several factors: saving behaviors, inheritance,
work and marital histories. In a context of increasing diversity of marital histories
over cohorts, this article examines how relationship history may shape long-term
wealth accumulation and wealth inequality. It goes beyond household wealth by
looking at individual wealth. Focusing on individuals above 50 and using data from
cross-sectional wealth surveys conducted in France in 2004, 2009, and 2014, we
evaluate the contribution of their marital histories to individual wealth across
different birth cohorts of men and women. We document the existence of a couple
wealth premium, observed for both married and unmarried partners who are
wealthier than the divorced, separated, or always single. Accumulated wealth
significantly depends on marital history. Women have smaller wealth when they have
not been continuously in a relationship. This is also the case for men but only for
those belonging to the lowest quantiles. Over birth cohorts, marital break-up is
responsible for less accumulated wealth. This is mainly noticeable for cohorts born
after WWII. If marital histories had not diversified, the wealth accumulated by
women would have been greater at older ages and those of men would have been
more evenly distributed.
Keywords Marital histories ●Wealth ●Inequality ●Gender ●Divorce ●Cohort
JEL Codes D31 ●J12 ●J16
*Anne Solaz
solaz@ined.fr
1
INED, Institut national d’études démographiques, Aubervilliers, France
2
CHILD (Collegio Carlo Alberto), Turin, Italy
3
Université Paris I, Paris, France
1234567890();,:
Content courtesy of Springer Nature, terms of use apply. Rights reserved.