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Record W4406042284 · doi:10.33423/jabe.v26i6.7471

Intra-Household Portfolio Decision in Retirement: Bargaining Power and Gender Health Differences

2024· article· en· W4406042284 on OpenAlexvenueno aff
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Bibliographic record

VenueJournal of Applied Business and Economics · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicRetirement, Disability, and Employment
Canadian institutionsnot available
Fundersnot available
KeywordsPortfolioBargaining powerPower (physics)Health and Retirement StudyEconomicsPensionLabour economicsBusinessDemographic economicsMicroeconomicsMedicineGerontologyFinance

Abstract

fetched live from OpenAlex

This paper investigates how the health-determined bargaining power affects the joint portfolio decision-making of retired households. Data demonstrate a decline in the risky share of married households after retirement, whereas the risky share of single households remains relatively stable. Meantime, wives tend to be younger, healthier, and more risk-averse than husbands. This suggests a potential correlation between health-determined bargaining power dynamics and the household’s portfolio allocation in retirement: as people age, health factors play a more crucial role in determining bargaining power. Consequently, the wife’s bargaining power strengthens, leading the household’s collective portfolio decisions to increasingly reflect her preferences. This dynamic underscores the importance of considering health factors in understanding how joint portfolio decisions are made in retirement. It highlights the potential role of intrahousehold bargaining power in shaping financial outcomes. Realizing this knowledge, policymakers can enhance their ability to better support households’ financial planning and choices during retirement.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.001

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.

Opus teacher head0.160
GPT teacher head0.360
Teacher spread0.200 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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