Income pooling strategies among cohabiting and married couples: A comparative perspective
Bibliographic record
Abstract
BACKGROUND Studies explaining why cohabiters are more likely to keep money separate than spouses have mainly focused on selection processes, without taking into account the heterogeneity within both union types in levels of commitment. Cross-national studies are rare and have predominantly included Northern and Western European countries, the United States, and Canada. OBJECTIVE This study explains the higher likelihood of cohabiters to keep income separate by selection as well as commitment factors and explores country differences, including countries from Central and Eastern Europe. METHODS Using data from the Generations and Gender Surveys of Bulgaria, France, Georgia, Germany, Romania, and Russia, N=41,456 cohabiting and married individuals are studied. Binary logistic regression models of the likelihood that respondents keep money separate are calculated. RESULTS Across countries, higher education, female labor market participation, both partners being employed, short union duration, absence of joint children, presence of separation thoughts, and (for cohabiters) a lack of marital intentions are the most persistent correlates of keeping money separate. Differences between cohabiters and married couples are reduced when selection and commitment are taken into account, but are still significant. Cross-national variation in the effect of cohabitation on keeping separate purses is persistent. CONCLUSION Different money management strategies of cohabiters and spouses can be explained to some extent by selection processes and inherent differences in the level of commitment within cohabitation and marriage. Countries also differ in the socio-economic context and norms concerning the way intimate relationships are organized which might lead to persistent differences in the way cohabiting and married couples organize their income.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".