Publication Type

Working Paper

Version

publishedVersion

Publication Date

8-2026

Abstract

We study what predicts marital instability using a unique dataset from Japan with detailed measures of spouses’ consumption, savings, labor supply, satisfaction, and marriage-market conditions. We combine descriptive survival and event-study analyses with several econometric and machine-learning approaches, including Cox proportional-hazards models and DynForest, a method designed for survival data with time-varying covariates. Across these approaches, match quality, household resources, time use, stated satisfaction, and marriage-market conditions all contain predictive information. Our main contribution is to show that intrahousehold consumption allocation matters, highlighting information that is missed by standard demographic, time use, and income measures. We relate these findings to the theoretical literature on the drivers of divorce.

Keywords

Divorce, Marital Stability, Intra-household Allocation, DynForest

Discipline

Family, Life Course, and Society

First Page

1

Last Page

61

Publisher

Singapore Management University

Share

COinS