My Wife Is My Insurance Policy: Household Bargaining and Couples’ Purchase of Long-Term Care Insurance
Bibliographic record
Abstract
This paper examines household decisions over long-term care insurance (LTCI) purchases through a bargaining lens. Long-term care insurance purchase is a discrete decision around which spouses' interests may diverge substantially. The cost of buying LTCI is typically borne by both spouses, but the benefits of LTCI go disproportionately to women, who are more likely to need long-term care for themselves, and to benefit from the asset protection and other support LTCI offers in the event their husband needs care. Using panel data on married couples ages 50-75 from the US Health and Retirement Study (HRS), we test and find support for the hypothesis that spouses' relative bargaining power is related to LTCI purchase decisions. In particular, when husbands have final say in household decisions, LTCI coverage is less likely. The findings suggest that spouse's relative bargaining power matters for health care choices and, therefore, for the welfare of older men and women.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.008 | 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".