A Collective Retirement Model : Identification and Estimation in the Presence of Externalities
Bibliographic record
Abstract
We study the labor supply dynamics of elderly couples by means of a structural collective\nmodel. The model allows for general externalities with respect to spouses? leisure.\nPreferences and the intrahousehold bargaining process are identified by using panel data\nwith couples and individuals who turned into widow(er)hood in the covered period. The model\ndoes not only look at the extensive margin (working versus being retired), but also at the\nintensive margin (how many hours are worked) and the claiming decision for social security\nbenefits. We apply the model to American households coming from the first five waves of the\nHealth and Retirement Study. We also provide model simulations for two widely discussed\nreform proposals; more specifically the abolition of the earnings test and the elimination of\nthe spouse benefit. The model simulations reveal only small changes in labor supply of\nelderly couples.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".