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Record W3124662404

Assortative Mating and Intergenerational Persistence of Schooling and Earnings

2014· preprint· en· W3124662404 on OpenAlexaboutno aff
Christopher Handy

Bibliographic record

VenueMunich Personal RePEc Archive (Ludwig Maximilian University of Munich) · 2014
Typepreprint
Languageen
FieldSocial Sciences
TopicIntergenerational and Educational Inequality Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAssortative matingEarningsPersistence (discontinuity)Educational attainmentEconomicsQuarter (Canadian coin)Demographic economicsMatingLabour economicsBiologyGeographyEconomic growth
DOInot available

Abstract

fetched live from OpenAlex

Research on intergenerational mobility has often treated outcomes such as schooling and earnings as being imperfectly transmitted from one parent to a child. But because the characteristics of both parents are important in shaping children’s outcomes, the way in which a generation of parents is sorted into couples is likely to be a key determinant of intergenerational persistence. Mating patterns are assortative—that is, individuals tend to partner with people similar to themselves—and this is typically measured by similarity of educational attainment. I present the first estimates of the effect of assortative mating on intergenerational persistence of schooling and earnings. I measure assortative mating as the rank correlation of couples’ educational attainment, that is, the degree to which the most highly-educated men partner with the most highly-educated women. Using data on parents and children in the United States, I find that assortative mating explains about one quarter of the observed intergenerational persistence of schooling and earnings.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.225
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.049
GPT teacher head0.283
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 designQualitative
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

Citations0
Published2014
Admission routes1
Has abstractyes

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