LARGE DEMOGRAPHIC SHOCKS AND SMALL CHANGES IN THE MARRIAGE MARKET
Why this work is in the frame
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Bibliographic record
Abstract
Between 1958 and 1961, China experienced a drastic famine. The famine substantially reduced birth rates and also adversely affected the health of these famine-born cohorts. This paper provides nonparametric estimates of the total effects of the famine on the marital behavior of famine-affected cohorts in rural Sichuan and Anhui. These reduced-form estimates incorporate general equilibrium and heterogeneous treatment effects. The paper uses the Choo–Siow model to decompose observed marital outcomes into quantity and quality effects. A decline in marital attractiveness of famine-affected cohorts, which is correlated with an increase in marital childlessness, provides support for the external validity of the Choo–Siow decomposition. The small observed changes in marriage rates of the famine-born cohorts are due to a substantial decline in their marital attractiveness.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it