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Record W4241819317 · doi:10.1086/709396

H. Gregg Lewis Prize

2020· article· en· W4241819317 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Labor Economics · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsParental leaveIncentiveEconomicsLabour economicsPublic policyFamily LeaveSociologyDemographic economicsWork (physics)Economic growth

Abstract

fetched live from OpenAlex

Previous articleNext article FreeH. Gregg Lewis PrizePDFPDF PLUSFull Text Add to favoritesDownload CitationTrack CitationsPermissionsReprints Share onFacebookTwitterLinked InRedditEmailQR Code SectionsMoreThe H. Gregg Lewis Prize for the best paper published in the Journal of Labor Economics during 2018–19 has been awarded to Ankita Patnaik for “Reserving Time for Daddy: The Consequences of Fathers’ Quotas,” which appeared in the October 2019 issue of the Journal.The Prize Committee consisted of Marianne Page (chair), William Kerr, and Petra Todd. The relationships between the division of household labor, formal childcare, and the gender gap in wages have long been of interest to labor economists. Patnaik’s study focuses on the potentially important role of fathers’ involvement in early childcare and the ways in which well-designed family leave policies might influence these relationships. Previous studies have shown that a disproportionate amount of housework is done by women and that this contributes to the gender pay gap. As a result, men’s involvement at home has received increasing public attention, and some countries have enacted family leave policies that incentivize father’s participation in parental leave. Little is known, however, about what types of incentives will be most successful in getting parents to share leave more equally or what the long-run impacts of successful short-term policies might be.Patnaik leverages a natural experiment generated by the 2006 introduction of the Quebec Parental Insurance Plan to provide the first causal analysis of the shorter- and longer-term consequences of a policy aimed at promoting paternity leave. This policy established a nontransferable right to 5 weeks of leave for fathers at the time of their child’s birth. Using both regression discontinuity and difference-in-differences designs that exploit the fact that other provinces did not make similar changes in their family leave policies, Patnaik finds that the Quebec Parental Insurance Plan was very effective. Fathers’ leave claims increased by 53 percentage points, and fathers’ leave duration increased by 3 weeks.The committee was impressed with the author’s thorough analysis of a novel policy event, the employment of multiple methodological approaches, and her detailed exploration of mechanisms. What excited us most, however, was her follow-up analysis with time diary data, which shows that the policy-induced increase in fathers’ leave taking had a persistent impact several years after the birth, shifting households more toward a dual-caregiver, dual-earner model. This is an important finding because it suggests that small changes in initial parenting experiences can have long-lasting effects on parents’ behavior and that there may not need to be a trade-off between gender equality in the labor market and parental investments in children. Previous articleNext article DetailsFiguresReferencesCited by Journal of Labor Economics Volume 38, Number 3July 2020 Published for the Society of Labor Economists, Economics Research Center/ NORC Article DOIhttps://doi.org/10.1086/709396 © 2020 by The University of Chicago. All rights reserved.PDF download Crossref reports no articles citing this article.

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.

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)0.000
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 score0.852
Threshold uncertainty score0.298

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.037
GPT teacher head0.279
Teacher spread0.242 · 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