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Record W1505941874

The Economic Return on New Immigrants' Human Capital: the Impact of Occupational Matching *

2009· preprint· en· W1505941874 on OpenAlexaboutno aff
Gustave Goldmann, Arthur Sweetman, Casey Warman

Bibliographic record

VenueRePEc: Research Papers in Economics · 2009
Typepreprint
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationEarningsHuman capitalMatching (statistics)Demographic economicsDistribution (mathematics)Labour economicsPopulationCountry of originEconomicsData sourceBusinessGeographyEconomic growthDemographySociologyFinance
DOInot available

Abstract

fetched live from OpenAlex

Using a data set that provides information on source country employment, we examine the effect of source and host country occupational matching on earnings and the economic rate of return to the foreign human capital of immigrants in Canada. Examining occupational distributions we find that immigrants converge very quickly to the skill distribution of the Canadian population in terms of the main job worked, although four years after landing they are still below the source country distribution. We also find that for a large proportion of immigrants, their intended occupation differs from their source country occupation. Although immigrants who are able to match their source and host country occupations obtain higher earnings, successful occupational matching does not have any impact on the return to foreign potential work experience. However, immigrants who match their source and host country occupations do have a higher return to schooling, particularly for females.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.525
Threshold uncertainty score0.955

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.039
GPT teacher head0.396
Teacher spread0.356 · 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 source (direct Gemma or distilled Codex), 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

Citations11
Published2009
Admission routes1
Has abstractyes

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Same venueRePEc: Research Papers in EconomicsSame topicMigration and Labor DynamicsFrench-language works237,207