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Record W2972965649 · doi:10.3138/cpp.2019-043

Marital Property Laws and Women’s Labour Supply

2020· article· en· W2972965649 on OpenAlexaffvenueabout
Stéphanie Lluis, Yazhuo Pan

Bibliographic record

VenueCanadian Public Policy · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Labor, and Family Dynamics
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsLabour supplyIncentiveWork (physics)EconomicsDemographic economicsMarital statusCivil codeLabour economicsSociologyPolitical scienceLawDemographyPopulation

Abstract

fetched live from OpenAlex

In this article, we examine whether and, if so, how changes in the marital property law after the 1989 amendment of the Civil Code of Quebec to improve economic equality between spouses affected household labour supply and individuals’ marital decisions. We exploit detailed monthly information on individual labour market and marital status from the Labour Force Survey to analyze short-term changes in labour supply and marital decisions before and after the reform in Quebec relative to other provinces that did not experience changes in marital property laws over that time period. We find that the Quebec family patrimony changes reduced the work incentives of married women, with a stronger decline in hours worked among less-educated married women who gained most from the increased economic protection. The change in the Quebec redistributive divorce law increased the likelihood of divorce among relatively less-educated spouses (who have more to gain from the equal sharing of the family patrimony at divorce) and increased new marriages among couples in which wives are relatively more educated than husbands.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.870
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.023
GPT teacher head0.245
Teacher spread0.222 · 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 designNot applicable
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
Published2020
Admission routes3
Has abstractyes

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