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Record W7053347090

Three essays on labour mobility

2009· dissertation· en· W7053347090 on OpenAlexaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2009
Typedissertation
Languageen
FieldEngineering
TopicPlasma Diagnostics and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsEarningsImmigrationUnemploymentLabour supplyIndustrial relations
DOInot available

Abstract

fetched live from OpenAlex

This dissertation looks at three different aspects of labour mobility. The first essay examines the movements of workers between wage-employment and self-employment in the United States and the returns to various forms of experience in that context. The second essay studies the long-term unemployed in Canada, and the transitions that they make into other labour market states. The final essay deals with the implications of movements of workers between countries -- specifically, it analyzes earnings distributions to obtain a more complete picture about the declining economic fortunes of immigrants to Canada in recent times. They key contribution of the first essay lies in the recognition that consideration must also be given to industry and occupation specific experience when studying returns to experience in the context of movements between wage and self-employment - otherwise the returns to other forms of experience will be biased. Using data from the U.S. National Longitudinal Survey of Youth, I find that past occupational experience can, among the different forms of experience, best explain the hourly rate of pay for workers, especially among the self-employed. Using data from the Survey of Labour and Income Dynamics, the second essay examines the employment prospects of the long-term unemployed (defined as being unemployed for at least a year) in Canada, in view of what is known from the research literature in Europe. Canada has a relatively low rate of long-term unemployment when compared to most European countries, but the proportion of long-term unemployed who remain unemployed for another year or more is surprisingly close to the high European levels. Examination of the factors affecting the chances of the long-term unemployed to obtain regular employment reveals, however, that several of the factors that hinder the chances of the long-term unemployed in Europe are not major obstacles, including age, gender and immigrant status. Low skill, on the other hand, does appear to be a major contributor to very long-term unemployment in Canada as elsewhere. The findings appear to support the view of Canada as belonging firmly with the 'liberal' welfare state and labour market regimes. The final essay studies earnings distributions of recent immigrants to Canada in 1980 and 2000, as well as those of their native-born counterparts; moreover, I make a distinction between individuals in wage work and in self-employment. Using Canadian Census data, the essay studies two aspects -- immigrant/native-born earnings gaps, and earnings inequality within the immigrant and native-born populations. With regard to the observed growth in earnings gaps, I find that changes in observed characteristics and earnings structure effects were both responsible. With regard to the observed growth in earnings inequality, I find that residual inequality was largely responsible. But while this increase in residual inequality appears to reflect the effects of comprehensive skill biased technical change among the wage-employed, this is not the case among the self-employed.

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)0.010
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0040.006
Scholarly communication0.0050.005
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0150.004

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 head0.012
GPT teacher head0.224
Teacher spread0.212 · 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

Citations0
Published2009
Admission routes1
Has abstractyes

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