Living Standards after Divorce or Dissolution of a Pacs

Why can ending the same relationship produce unequal economic consequences? Carole Bonnet, Bertrand Garbinti and Anne Solaz return the question to earnings and work before separation. Published by Insee in Couples et familles on 16 December 2015, their French study uses tax records to examine people divorcing or dissolving a Pacs civil partnership in 2009. It investigates asymmetric costs emerging from household specialization, rather than explaining women’s poverty through failures of financial management.

Living standards are not individual wages

The study’s definitions and methods divide household disposable income by consumption units, taking economies of scale into account. This measure is neither an individual wage nor proof that every household member actually controls an equal share of money. Shared housing costs and independent command over resources are different matters.

The analysis links income-tax and housing-tax records for 2008 and 2010 around separations in 2009. It concerns different-sex married or Pacs couples. The final sample includes 56,300 men and 64,400 women aged twenty to fifty-five at separation, without a new cohabiting partner in 2010. Being without a partner does not mean living without children; these groups are not necessarily matched former spouses. Cohabiting couples neither married nor in a Pacs are excluded.

Before-and-after changes and counterfactuals differ

Including transfers and taxes, women’s average living standards fell 14.5% from their pre-separation level, while men’s rose 3.5%. That does not directly establish that divorce benefited men. Careers, economic conditions and benefit rules were changing too. The researchers compare separated individuals with people similar before separation who remained partnered.

In this estimation, without separation, women’s living standards would have risen around 5.5%, and men’s around 6.5%. Taking the difference between changes, the paper summarizes losses attributable to separation as roughly 20% for women and 3% for men. This is a counterfactual estimate with comparison assumptions, not a randomized experiment or a fixed outcome awaiting everyone divorcing in France today. Mixing it with before-and-after averages misrepresents both groups.

How specialization becomes an exit cost

The partner contributing less monetary income generally suffers more after separation. Women more often occupy that position. A couple may previously have allocated more of one person’s time to housework and care, then rely on separate earnings after the relationship ends. A shared arrangement thus produces unequal exit costs. This interpretation must not equate unpaid work with no contribution: monetary income shares and the value of labor are distinct.

Public arrangements also change the result. The paper successively adds private transfers such as maintenance payments, social benefits and taxes, showing how they reduce the gender difference in changes to living standards. Benefits are simulated from eligibility rules, assuming everyone eligible receives them. This may overestimate assistance actually obtained; it is not a record of every payment reaching a person. Distinguishing calculated protection from take-up opens questions about administrative barriers and unclaimed support.

The study excludes lump-sum divorce compensation and does not include imputed rent from owner-occupied housing. It concerns short-term living standards, not a complete accounting of divided wealth, lifetime earnings or safety within relationships. Economic losses are not a reason to advise someone to remain in a harmful relationship. They pose the question of how leaving can become possible without losing a secure basis for life.

Hirata and Kergoat’s paper on the sexual division of labor explains separation and hierarchy in work; this study provides economic measurement for a particular French period. Lu Xun’s What Happens after Nora Leaves? offers another genre in which deciding to leave and securing a livelihood afterward remain distinct questions. Historical argument and statistical estimation can illuminate each other without serving as mutual empirical validation.