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Record W7098881301

Lechene (2001): “Caring and Sharing: Tests Between Alternative Models of Intra-household Allocation

2014· article· en· W7098881301 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicData Analysis with R
Canadian institutionsnot available
Fundersnot available
KeywordsSample (material)Distribution (mathematics)Income distributionTest (biology)Economic modelDictator
DOInot available

Abstract

fetched live from OpenAlex

Several models of intra-household decision making have been suggested in the literature. One important dichotomy is between non-cooperative and cooperative models (including speci…c models of bargaining). The other im-portant distinction is between models that allow for caring and those that do not. We present a framework that includes all suggested models and vari-ants as special cases. We derive the theoretical predictions of these models for the relationship between expenditures on goods and the intra-household distribution of income. We estimate and test between these relationships using Canadian household expenditure data. We conclude that there is ev-idence that both husbands and wives care for each other in the sense that with an unequal distribution of incomes the high income partner behaves as a ‘Becker dictator ’ and there is local income pooling. We further …nd that for about half of the households in our sample (those with more equal incomes) a re-distribution of income would lead to changes in budget allo-cations. We conclude that the data are consistent with a collective model with caring partners. ¤We gratefully acknowledge the contribution of Wasif Rasheed to the research presented

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.905
Threshold uncertainty score0.385

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.062
GPT teacher head0.270
Teacher spread0.208 · 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 designSimulation or modeling
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
Published2014
Admission routes1
Has abstractyes

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