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Record W2624580232 · doi:10.1177/2321022217696152

Efficiency of Family Bargaining Models with Renegotiation: The Role of Transferable Utility across Periods

2017· article· en· W2624580232 on OpenAlexaff
Elisabeth Gugl, Linda Welling

Bibliographic record

VenueStudies in Microeconomics · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Labor, and Family Dynamics
Canadian institutionsUniversity of Victoria
FundersTechnische Universität Dresden
KeywordsInefficiencyEconomicsSubstitution (logic)Constant (computer programming)MicroeconomicsWageEconometricsMarginal costMarginal utilityLabour economicsComputer science

Abstract

fetched live from OpenAlex

In dynamic family bargaining models, it is often assumed, for simplicity, that spouses have transferable utility as well as identical and constant marginal rates of intertemporal substitution. It has been argued that as long as spouses are at an interior solution, renegotiation does not hinder efficiency. We show that identical and constant marginal rates of intertemporal substitution (i.e., transferable utility across periods) are the source of this efficiency result. Even at an interior solution, renegotiation can cause inefficiency if marginal rates of intertemporal substitution are not constant. Our model is the first to both identify this source of inefficiency in a bargaining model in which the threatpoints of later periods are determined endogenously and demonstrate that there is no one-size-fits-all policy regulating divorce that can restore efficiency when couples are allowed to differ in their initial wage rates and/or preferences.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.332
Threshold uncertainty score0.846

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.060
GPT teacher head0.341
Teacher spread0.281 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations1
Published2017
Admission routes1
Has abstractyes

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