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Record W2980177483 · doi:10.3386/w26368

Educational, Labor-market and Intergenerational Consequences of Poor Childhood Health

2019· report· en· W2980177483 on OpenAlexfundno aff
Krzysztof Karbownik, Anthony Wray

Bibliographic record

VenueNational Bureau of Economic Research · 2019
Typereport
Languageen
FieldHealth Professions
TopicGlobal Health Care Issues
Canadian institutionsnot available
FundersJapan Society for the Promotion of ScienceEconomic History AssociationMax-Planck-Institut für demografische ForschungSyddansk UniversitetNational Graduate Institute for Policy StudiesNorthwestern UniversityHospital for Sick ChildrenKingston UniversityEmory UniversityUniversity of EssexUniversity of MichiganGöteborgs Universitet
KeywordsLabour economicsEconomicsDemographic economicsPsychologyBusinessDevelopmental psychology

Abstract

fetched live from OpenAlex

Does childhood health capital affect long-run labor market success? We address this question using inpatient hospital admission records linked to population census records. Sibling fixed effects estimates indicate that in comparison to their brothers, boys with health deficiencies were more likely to experience downward occupational mobility relative to their father's occupational rank. This decline in occupational success across generations can be decomposed into a lower likelihood of attaining white collar status and a higher likelihood of working in unskilled jobs, which translated into lower occupational wages on average. Evidence indicates that a lower school attendance rate and higher rates of disability in both childhood and adulthood are plausible mechanisms for our findings.

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)0.012
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.890
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.406
GPT teacher head0.641
Teacher spread0.234 · 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.

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

Citations4
Published2019
Admission routes1
Has abstractyes

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