Bibliographic record
Abstract
A growing number of less-developed countries have introduced conditional cash transfer programs in which funds are targeted to women. Economic models of the family suggest that these transfer programs may lead to marital turnover among program beneficiaries. We use data from the experimental evaluation of the PROGRESA program in Mexico to provide new evidence on the short-run impacts of targeted transfers on couples’ union dissolution and individuals’ new union formation decisions. We find that, although the overall share of women in union does not change as a result of the program, marital turnover increases. Intact families eligible for the transfers experienced a modest (0.32 percentage points) increase in separation rates, with most of the effect concentrated among young and relatively educated women households. In contrast, young single women with low educational attainment levels experienced a substantial increase in new union formation rates. The marital transition patterns are consistent with the workhorse economic model of the marriage market – individuals with the greatest prospects to start new unions and those who may become more attractive in the marriage market are more likely to transition out of existing relationships and form new ones.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".