Effects of Occupational Licensing and Unions on Labour Market Earnings in Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Using longitudinal data from the Canadian Survey of Labour and Income Dynamics from 1999 to 2011, the article compares the pay and benefits of licensed and unionized workers. In a cross section of respondents and using ordinary least squares estimates, it finds a pay premium of 0.155 log points for those with an occupational licence compared to those without one; the comparable union wage premium is slightly more than half, that is 0.085 log points. Fixed‐effects estimates go in the opposite direction (0.028 and 0.046 log points for licensing and unionization, respectively), suggesting the existence of unobservable factors correlated with licensing and union status. Unionized workers are more likely to access standard benefits, such as medical insurance and pension plans, but licensed workers benefit little from their licensing status in access to benefits. Finally, union workers are significantly less likely to receive incentive pay, such as profit sharing, while the association between occupational licensing and incentive pay is close to zero and statistically insignificant.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it