Collective female labor supply: theory and application”, Economic Journal
Bibliographic record
Abstract
ERBFMBICT983433) is gratefully acknowledged. This paper has been partly written when I was working in DELTA, whose hospitality is gratefully acknowledged. Preliminary versions have been presented in Paris, Lille, Québec and Montréal. We thank François Bourguignon, Pierre-André Chiappori, Bernard Fortin, François Gardes, Guy Lacroix, Thierry Magnac and Costas Meghir for useful comments and suggestions. We also thank Bénédicte Sabatier for her research assistance in the data processing. We bear the sole responsability for any remaining errors. Résumé: Dans cet article, nous traitons la question de l’o¤re féminine de travail dans le cadre de l’approche collective (Chiappori, Journal of Political Economy (1992)). Nous étudions des couples mariés et partons de l4observation empirique que l’o¤re de travail du mari est généralement déterminée par des contraintes exogènes. Nous montrons alors que, dans ce cas, des éléments structurels du processus de décision, tels que les préférences individuelles or la règle qui détermine la répartition intra-familiale du bien-être peut-être identi…ée á condition que la demande pour au moins un bien est observée conjointement
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.030 | 0.002 |
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".