Marriage and couples' well-being in Togo
Bibliographic record
Abstract
Abstract Marriage is considered in the literature as a means of pooling risks and improving the well-being of couples. Thus, the aim of this article is to analyze the relationship between marriage and the well-being of couples in Togo. To do so, we apply the ordinary least squares (OLS) method. Using data from the Enquête Harmonisée sur les Conditions de Vie des Ménages (EHCVM) Togo 2018. We arrive at the results that, marriage positively affects the well-being of married women under monogamy and polygamy, but the well-being of women in common-law unions decreases. However, our results show that marriage negatively affects the well-being of married men in Togo, regardless of their marital status. Furthermore, we find that marriage is a decreasing function of education level in Togo, but that marriage contributes to improved household well-being in the Togolese context. Our results suggest that the provision of social assistance, such as affordable healthcare or employment assistance programs, could help improve the well-being of married men. Further policy implications are proposed in the light of our results. JEL codes : J12, D60, D01
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".