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Gender Role Attitudes and Women's Labor Market Participation: Opting-Out, AIDS and the President Appeal of Housewifery

2015· article· en· W2278683968 on OpenAlexaff
Nicole M. Fortin

Bibliographic record

VenueAnnals of Economics and Statistics · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Labor, and Family Dynamics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsInstrumental variableContext (archaeology)AppealEducational attainmentShock (circulatory)Demographic economicsEconomicsPillPolitical sciencePsychologySocial psychologyEconomic growthMedicineGeographyLawEconometrics

Abstract

fetched live from OpenAlex

After a century of remarkable growth, U.S. female labor force participation (FLP) has leveled-off in the late 1990s, despite continuous improvement in fundamental economic variables, such as educational attainment. Using data from the 1977-2006 General Social Surveys (GSS), this paper studies the impact of changing gender role attitudes on the evolution of FLP. The analysis uses a double prong instrumental variable strategy in the context of a variant of two-sample two-stage least squares (TS2LS). First, it appeals to extraneous attitudes found in the GSS, and second to an exogenous shock to attitudes, namely the AIDS scare, which may have acted as a counter-current to the ``Pill Revolution", using repeated cross-sectional data from the 1988-2006 National Health Interview Surveys (NHIS). Gender role attitudes, whose progression stalled in the mid-1990s when the AIDS crisis peaked, are found to explain at least a third of the recent leveling-off in FLP that is, as much as all the usual variables combined.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.420
Threshold uncertainty score0.294

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 studies0.0000.001
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 head0.073
GPT teacher head0.326
Teacher spread0.253 · 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 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

Citations23
Published2015
Admission routes1
Has abstractyes

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