Caring and sharing: tests between alternative models of intra-household allocation
Bibliographic record
Abstract
Several models of intra-household decision making have been suggested in the literature. One important dichotomy is between non-cooperative and cooperative models (including specific models of bargaining). The other important distinction is between models that allow for caring and those that do not. We present a framework that includes all suggested models and variants as special cases. We derive the theoretical predictions of these models for the relationship between expenditures on goods and the intra-household distribution of income. We estimate and test between these relationships using Canadian household expenditure data. We conclude that there is evidence that both husbands and wives care for each other in the sense that with an unequal distribution of incomes the high income partner behaves as a `Becker dictator` and there is local income pooling. We further find that for about half of the households in our sample (those with more equal incomes) a re-distribution of income would lead to changes in budget allocations. We conclude that the data are consistent with a collective model with caring partners.
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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 | 0.036 | 0.097 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 0.001 |
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".