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Record W3012999264

The Regulation of Occupations and Labour Market Outcomes in Canada: Three Essays on the Relationship between Occupational Licensing, Earnings and Internal Labour Mobility

2017· dissertation· en· W3012999264 on OpenAlexaboutno aff
Tingting Zhang

Bibliographic record

VenueTSpace · 2017
Typedissertation
Languageen
FieldEconomics, Econometrics and Finance
TopicOccupational and Professional Licensing Regulation
Canadian institutionsnot available
Fundersnot available
KeywordsEarningsOccupational mobilityLabour economicsEconomicsBusinessAccounting
DOInot available

Abstract

fetched live from OpenAlex

The thesis begins with an introductory chapter that discusses the current state of occupational licensing research and motivates the analysis through the importance of occupational licensing, similar to unionization, to both labour market theory and public policy. The first paper in this thesis asks whether or not Canadian licensed workers earn higher wages than unlicensed workers. The paper also compares licensing pay premium to union wage premium. Based on longitudinal data from the Canadian Survey of Labour and Income Dynamics (SLID) from 1993 to 2011, a pay premium of approximately 12.0% is estimated for occupational licensing, slightly higher than the union wage premium, as 9.0%. These results are based on a cross-section of respondents using Ordinary Least Square (OLS) estimates. Fixed-effect estimates from the longitudinal data (2.6% and 4.0% for licensing and unionization, respectively), however, are much lower than the OLS amounts, suggesting the importance of unobservable factors that are correlated with licensing and union status in determining the wage premium of workers. The second paper further investigates whether or not wage premiums are uniform across the wage distribution. Using unconditional quantile regression methods, I investigated how occupational licensing and unionization impact the wage distribution of Canadian workers between 1998 and 2014. Unionization decreases wage inequality in upper-wage earners, but increases wage inequality in lower-wage earners. Occupational licensing, on the other hand, increases inequality across the entire wage distribution. The third paper focuses on the impacts of occupational licensing and unionization on young workers inter-provincial mobility decision. Using Canadian Longitudinal data from the Canadian Survey of Labour and Income Dynamics (SLID) from 1993 to 2010, the results of both multilevel modeling analysis and linear probability models with clustered standard errors show that, unlike unionization which restricts labour mobility, individualsâ licensing status is not correlated with the likelihood of moving across provincial boundaries for young Canadians aged 21-34. The final component of the thesis is an Appendix that presents a newly constructed occupational licensing index, which is based on an authoritative Canadian jurisdictional review. I define occupational licensing based on the exclusive-right-to-practice clause, and occupational certification based on the exclusive-right-to-title clause in the legislation, and construct licensing indicators to carry the empirical analyses of the effects of occupational licensing in Canada.

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)0.006
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: Empirical
Teacher disagreement score0.944
Threshold uncertainty score0.409

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.005
Science and technology studies0.0060.008
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.053
GPT teacher head0.310
Teacher spread0.257 · 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

Citations2
Published2017
Admission routes1
Has abstractyes

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