Household Decision-Making and Valuation of Environmental Health Risks to Parents and their Children
Bibliographic record
Abstract
This paper empirically discriminates between alternative household decision-making models for estimating parents’ willingness to pay for health risk reductions for their children as well as for themselves. Models are tested using data pertaining to heart disease from a stated preference survey involving 432 matched pairs of parents married to one another. Analysis is based on a collective model of parental resource allocation that incorporates household production of perceived health risks and allows for differences in preferences and risk perceptions between parents. Results are consistent with Pareto efficiency within the household, which implies that (1) for a given proportionate reduction in health risk, parents are willing to pay the same amount of money at the margin to protect themselves and the child; and (2) parents’ choices about proportionate health risk reductions for their children are based on household valuations, rather than their own individual valuations. Results also suggest that the marginal willingness to pay of mothers and fathers for health risk protection is sensitive to a shift in intra-household decision-making power between parents.
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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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".