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Record W1551079243 · doi:10.3386/w20444

Is the 'Quarter of Birth' Endogenous? Evidence From One Million Siblings in Taiwan

2014· report· en· W1551079243 on OpenAlexaboutno aff
Elliott Fan, Jin‐Tan Liu, Yen-Chien Chen

Bibliographic record

VenueNational Bureau of Economic Research · 2014
Typereport
Languageen
FieldSocial Sciences
TopicGender, Labor, and Family Dynamics
Canadian institutionsnot available
FundersAcademia Sinica
KeywordsQuarter (Canadian coin)DemographyGeographySociology

Abstract

fetched live from OpenAlex

Recent studies based on US data have provided evidence to suggest that the 'quarter of birth' (QOB) may be endogenous and that the use of QOB as an instrumental variable will consequently produce inconsistent estimates (see Such potential endogeneity is addressed in this study by estimating the effects of QOB on university attendance using a Taiwanese dataset on approximately one million siblings. Our estimations are mainly reliant upon the strength of the family fixed-effects model, a regression discontinuity design and a simulation procedure. Our results, in sharp contrast to the US findings, suggest that family background characteristics can explain very little of the relationship between QOB and the probability of university attendance at the age of 18. The disparity between the US and Taiwanese findings may be due to high-'socioeconomic status' (SES) women in the US disproportionately planning births away from the winter months, as suggested by Our findings imply that the endogeneity of QOB is of less concern in the case of Taiwan, perhaps due to the milder winter climate.

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)0.013
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.667
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.410
GPT teacher head0.482
Teacher spread0.073 · 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 designTheoretical or conceptual
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

Citations7
Published2014
Admission routes1
Has abstractyes

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